{"id":20753,"date":"2020-08-19T12:09:19","date_gmt":"2020-08-19T04:09:19","guid":{"rendered":"https:\/\/swarma.org\/?p=20753"},"modified":"2020-08-19T12:09:19","modified_gmt":"2020-08-19T04:09:19","slug":"%e4%bb%a5%e8%b2%8c%e5%8f%96%e4%ba%ba-%e9%9d%a2%e9%83%a8%e7%9f%a5%e8%a7%89%e5%af%b9%e7%a4%be%e4%ba%a4%e7%bd%91%e7%bb%9c%e4%b8%ad%e5%bf%83%e6%80%a7%e7%9a%84%e5%bd%b1%e5%93%8d-%e7%bd%91%e7%bb%9c","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=20753","title":{"rendered":"\u4ee5\u8c8c\u53d6\u4eba: \u9762\u90e8\u77e5\u89c9\u5bf9\u793e\u4ea4\u7f51\u7edc\u4e2d\u5fc3\u6027\u7684\u5f71\u54cd | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901218\u7bc7"},"content":{"rendered":"
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\u96c6\u667a\u6591\u56fe\u6700\u65b0\u8bba\u6587\u680f\u76ee\uff0c\u5173\u6ce8\u590d\u6742\u7cfb\u7edf\u3001\u7f51\u7edc\u79d1\u5b66\u3001\u8ba1\u7b97\u793e\u4f1a\u79d1\u5b66\u3001\u7edf\u8ba1\u7269\u7406\u7b49\u9886\u57df\u7684\u524d\u6cbf\u8fdb\u5c55\uff0c\u6bcf\u5929\u5373\u65f6\u66f4\u65b0\u76f8\u5173\u9876\u520a\u8bba\u6587\uff0c\u548c\u6700\u65b0arXiv\u9884\u5370\u672c\u8bba\u6587\u3002<\/span>
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\u672c\u6587\u662f\u5bf9\u8fd1\u671f<\/span>arX<\/span>iv<\/span>\u8bba\u6587\u7684<\/span>\u6c47\u603b\u7f16\u8bd1\uff08by \u5f69\u4e91\u5c0f\u8bd1\uff09\u3002\u66f4\u591a\u6700\u65b0\u8bba\u6587\uff0c\u8bf7\u626b\u4e8c\u7ef4\u7801\u83b7\u53d6\u3002<\/span><\/section>\n

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\u6838\u5fc3\u901f\u9012<\/span><\/section>\n

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    \n
  • \n

    \u4ee5\u8c8c\u53d6\u4eba: \u9762\u90e8\u77e5\u89c9\u5bf9\u793e\u4ea4\u7f51\u7edc\u4e2d\u5fc3\u6027\u7684\u5f71\u54cd\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u4e0d\u5b8c\u5168\u4fe1\u606f\u4e0b\u591a\u667a\u80fd\u4f53\u534f\u4f5c\u7684\u8054\u5408\u7b56\u7565\u641c\u7d22\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u591a\u4e3b\u4f53\u6df1\u5ea6\u5f3a\u5316\u5b66\u4e60\u5728\u8f66\u8f86\u4e91\u7f51\u7edc\u4e2d\u542f\u7528\u8ba1\u7b97\u8d44\u6e90\u5206\u914d\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u5316\u5b66\u6df7\u6c8c\u4e2d\u4ea7\u751f\u71b5\u7684\u968f\u673a\u65b9\u6cd5\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u7f51\u7edc\u8fc7\u6ee4\u7edf\u8ba1\u8d44\u6599\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u89c6\u9891\u6e38\u620f\u4e2d\u9897\u7c92\u4ecb\u8d28\u7684\u6982\u7387\u5143\u80de\u81ea\u52a8\u673a\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u57fa\u4e8e\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u6d1b\u4f26\u5179\u589e\u5f3a\u73bb\u8272\u5b50\u76d1\u7763\u5c04\u6d41\u805a\u7c7b\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u4f7f\u7528\u7a00\u6709\u6570\u636e\u5b66\u4e60: \u4f7f\u7528\u4e3b\u52a8\u91cd\u8981\u6027\u62bd\u6837\u4f18\u5316\u7a00\u6709\u4e8b\u4ef6\u4e3b\u5bfc\u7684\u76ee\u6807\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    ALONE:\u63a8\u7279\u4e0a\u9752\u5c11\u5e74\u6709\u5bb3\u884c\u4e3a\u7684\u6570\u636e\u96c6\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u57fa\u4e8e BERT \u6a21\u578b\u7684\u793e\u4ea4\u5a92\u4f53\u4ec7\u6068\u8a00\u8bba\u68c0\u6d4b\u4e0e\u79cd\u65cf\u504f\u89c1\u7f13\u89e3\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    MILE\uff1a\u53ef\u6269\u5c55\u56fe\u5d4c\u5165\u7684\u591a\u5c42\u6b21\u6846\u67b6\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u4e00\u79cd\u5c3a\u5bf8\u5e76\u4e0d\u9002\u7528\u4e8e\u6240\u6709\u7684\u60c5\u51b5: Stack Overflow \u4e2d\u7684\u5fbd\u7ae0\u884c\u4e3a\u7814\u7a76\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    Exo-SIR: \u5206\u6790\u5370\u5ea6\u65b0\u51a0\u80ba\u708e\u5916\u6e90\u611f\u67d3\u5f71\u54cd\u7684\u6d41\u884c\u75c5\u5b66\u6a21\u578b\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u5229\u7528\u6d41\u52a8\u6027\u6570\u636e\u7ed8\u5236\u65b0\u51a0\u80ba\u708e\u66b4\u53d1\u7684\u98ce\u9669\u5730\u56fe\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u57fa\u4e8e\u5927\u89c4\u6a21\u65c5\u884c\u6570\u636e\u96c6\u7684\u7f51\u7ea6\u8f66\u65c5\u884c\u6df1\u5165\u5206\u6790\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u4f20\u64ad\u7f51\u7edc\u7684\u7a7a\u95f4\u968f\u673a SIR \u6a21\u578b\u53ca\u5176\u5728\u4e2d\u56fd\u65b0\u51a0\u80ba\u708e\u6d41\u884c\u75c5\u4e2d\u7684\u5e94\u7528\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u65b0\u51a0\u80ba\u708e\u5728\u4eba\u7fa4\u4e2d\u4f20\u64ad\u52a8\u6001\u7684\u7ecf\u9a8c\u6a21\u578b\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    DINE\uff1a\u4e00\u79cd\u6df1\u5ea6\u4e0d\u5b8c\u5168\u7f51\u7edc\u5d4c\u5165\u6846\u67b6\uff1b<\/span><\/h2>\n

    <\/section>\n

    <\/section>\n<\/li>\n<\/ul>\n

    <\/section>\n
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    <\/p>\n

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    <\/p>\n

    \u4ee5\u8c8c\u53d6\u4eba: <\/strong><\/span><\/p>\n

    \u9762\u90e8\u77e5\u89c9\u5bf9\u793e\u4ea4\u7f51\u7edc\u4e2d\u5fc3\u6027\u7684\u5f71\u54cd<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n

    Judging a Book by Its Cover: The Effect of Facial Perception on Centrality in Social Networks<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    http:\/\/arxiv.org\/abs\/2008.06312<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong>
    <\/span><\/section>\n
    Dongyu Zhang,Teng Guo,Hanxiao Pan,Jie Hou,Zhitao Feng,Liang Yang,Hongfei Lin,Feng Xia<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5728<\/span>\u793e\u4ea4\u7f51\u7edc\u4e2d\uff0c\u9762\u90e8\u8868\u60c5\u5f88\u91cd\u8981\u3002\u4e2a\u4f53\u7ecf\u5e38\u6839\u636e\u9762\u90e8\u7ebf\u7d22\u505a\u51fa\u7279\u8d28\u5224\u65ad\u3002\u867d\u7136\u8fd9\u4e9b\u57fa\u4e8e\u9762\u90e8\u8868\u60c5\u7684\u5370\u8c61\u7f3a\u4e4f\u8bc1\u636e\u6765\u786e\u5b9a\u5176\u6709\u6548\u6027\uff0c\u4f46\u5b83\u4eec\u81f3\u5173\u91cd\u8981\uff0c\u56e0\u4e3a\u5b83\u4eec\u53ef\u80fd\u4e0e\u57fa\u4e8e\u4eba\u9645\u7f51\u7edc\u7684\u793e\u4f1a\u884c\u4e3a\u6709\u5173\uff0c\u4f8b\u5982\u5bfb\u6c42\u67d0\u4e9b\u4e2a\u4eba\u7684\u5e2e\u52a9\u3001\u5efa\u8bae\u3001\u7ea6\u4f1a\u548c\u5408\u4f5c\uff0c\u56e0\u6b64\u5b83\u4eec\u53ef\u80fd\u4e0e\u793e\u4f1a\u7f51\u7edc\u4e2d\u7684\u4e2d\u5fc3\u6027\u6709\u5173\u3002\u7136\u800c\uff0c\u5bf9\u4e8e\u5f71\u54cd\u7f51\u7edc\u4e2d\u5fc3\u6027\u7684\u8868\u89c2\u9762\u90e8\u7279\u5f81\u7684\u7814\u7a76\u5f88\u5c11\u751a\u81f3\u6ca1\u6709\uff0c\u5c3d\u7ba1\u5bf9\u4e8e\u4e2d\u5fc3\u4f4d\u7f6e\u5f52\u56e0\u7684\u7814\u7a76\u5f88\u591a\uff0c\u5305\u62ec\u4eba\u683c\u548c\u884c\u4e3a\u3002\u672c\u7814\u7a76\u4ee5\u5927\u5b66\u4e00\u5e74\u7ea7\u5b66\u751f\u4e3a\u7814\u7a76\u5bf9\u8c61\uff0c\u901a\u8fc7\u5bf9\u5927\u5b66\u4e00\u5e74\u7ea7\u5b66\u751f\u793e\u4f1a\u7f51\u7edc\u5f62\u6210\u7684\u521d\u59cb\u9636\u6bb5\u7684\u7814\u7a76\uff0c\u8003\u5bdf\u4e86\u57fa\u4e8e\u9762\u90e8\u8868\u60c5\u7684\u77e5\u89c9\u7279\u5f81\u662f\u5426\u5f71\u54cd\u7f51\u7edc\u4e2d\u5fc3\u6027\u3002\u6211\u4eec\u7ed9\u4f4f\u5728\u540c\u4e00\u4f4f\u5b85\u533a\u7684\u65b0\u751f\u53c2\u4e0e\u8005\u62cd\u4e86\u9762\u90e8\u7167\u7247\uff0c\u7136\u540e\u8981\u6c42\u4ed6\u4eec\u63d0\u540d\u8fde\u63a5\u5230\u4e0d\u540c\u7f51\u7edc\u7684\u793e\u533a\u6210\u5458\u3002\u7136\u540e\uff0c\u6211\u4eec\u901a\u8fc7\u8981\u6c42\u5176\u4ed6\u53c2\u4e0e\u8005\u6839\u636e\u4e09\u4e2a\u4e3b\u8981\u5c5e\u6027\u5bf9\u9762\u90e8\u56fe\u50cf\u8fdb\u884c\u8bc4\u5206\u6765\u6536\u96c6\u9762\u90e8\u611f\u77e5\u6570\u636e: \u652f\u914d\u6027\u3001\u53ef\u4fe1\u5ea6\u548c\u5438\u5f15\u529b\u3002\u540c\u65f6\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u6846\u67b6\u6765\u53d1\u73b0\u9762\u90e8\u8868\u60c5\u662f\u5982\u4f55\u5f71\u54cd\u793e\u4ea4\u7f51\u7edc\u7684\u3002\u6211\u4eec\u7684\u7814\u7a76\u7ed3\u679c\u8868\u660e\uff0c\u4eba\u4eec\u7684\u9762\u90e8\u7279\u5f81\u77e5\u89c9\u4e0e\u7f51\u7edc\u4e2d\u5fc3\u6027\u6709\u5173\uff0c\u5b83\u4eec\u53ef\u4ee5\u9884\u6d4b\u4e0d\u540c\u7f51\u7edc\u4e2d\u4eba\u4eec\u7684\u4e2d\u5fc3\u6027\u3002\u6211\u4eec\u7684\u7814\u7a76\u7ed3\u679c\u4e3a\u9762\u5b54\u548c\u7f51\u7edc\u4e2d\u5fc3\u6027\u4e4b\u95f4\u7684\u76f8\u4e92\u4f5c\u7528\u63d0\u4f9b\u4e86\u5fc3\u7406\u5b66\u8bc1\u636e\u3002\u6211\u4eec\u7684\u7814\u7a76\u7ed3\u679c\u4e5f\u4e3a\u5fc3\u7406\u5b66\u548c\u793e\u4f1a\u7f51\u7edc\u6280\u672f\u7684\u7ed3\u5408\u63d0\u4f9b\u4e86\u89c1\u89e3\uff0c\u4ed6\u4eec\u5f3a\u8c03\u4e86\u9762\u90e8\u504f\u89c1\u5728\u63d0\u793a\u7ebf\u7d22\u548c\u4f20\u9012\u793e\u4f1a\u7279\u5f81\u65b9\u9762\u7684\u4f5c\u7528\u3002\u636e\u6211\u4eec\u6240\u77e5\uff0c\u6211\u4eec\u662f\u7b2c\u4e00\u4e2a\u63a2\u8ba8\u9762\u90e8\u611f\u77e5\u5bf9\u793e\u4f1a\u7f51\u7edc\u4e2d\u5fc3\u6027\u7684\u5f71\u54cd\u3002<\/span><\/section>\n


    <\/span><\/h2>\n
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    <\/p>\n

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    <\/p>\n

    \u4e0d\u5b8c\u5168\u4fe1\u606f\u4e0b<\/strong><\/span><\/p>\n

    \u591a\u667a\u80fd\u4f53\u534f\u4f5c\u7684\u8054\u5408\u7b56\u7565\u641c\u7d22<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n

    Joint Policy Search for Multi-agent Collaboration with Imperfect Information<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    http:\/\/arxiv.org\/abs\/2008.06495<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Yuandong Tian,Qucheng Gong,Tina Jiang<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5728\u4e0d\u5b8c\u5168\u4fe1\u606f\u7684\u60c5\u51b5\u4e0b\uff0c\u5b66\u4e60\u597d\u7684\u591a\u667a\u80fd\u4f53\u534f\u4f5c\u7684\u8054\u5408\u7b56\u7565\u4ecd\u7136\u662f\u4e00\u4e2a\u6839\u672c\u6027\u7684\u6311\u6218\u3002\u5bf9\u4e8e\u4e24\u4eba\u96f6\u548c\u535a\u5f08\uff0c\u5750\u6807\u4e0a\u5347\u65b9\u6cd5(\u6bcf\u6b21\u4f18\u5316\u4e00\u4e2a\u4ee3\u7406\u7684\u7b56\u7565\uff0c\u4f8b\u5982\uff0c\u81ea\u6211\u626e\u6f14)\u4e0e\u4fdd\u8bc1\u4e00\u8d77\u5de5\u4f5c\uff0c\u5728\u591a\u4ee3\u7406\u5408\u4f5c\u7684\u8bbe\u7f6e\u4e2d\uff0c\u5b83\u4eec\u7ecf\u5e38\u6536\u655b\u5230\u6b21\u4f18\u7684\u7eb3\u4ec0\u5747\u8861\u70b9\u3002\u53e6\u4e00\u65b9\u9762\uff0c\u7531\u4e8e\u653f\u7b56\u4e4b\u95f4\u590d\u6742\u7684\u76f8\u4e92\u4f5c\u7528(\u4f8b\u5982\uff0c\u4e0a\u6e38\u66f4\u65b0\u5f71\u54cd\u4e0b\u6e38\u72b6\u6001\u7684\u53ef\u8fbe\u6027) \uff0c\u5728\u4e0d\u5b8c\u5168\u4fe1\u606f\u535a\u5f08\u4e2d\u76f4\u63a5\u5bf9\u8054\u5408\u653f\u7b56\u53d8\u5316\u8fdb\u884c\u5efa\u6a21\u662f\u975e\u5e38\u91cd\u8981\u7684\u3002\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u7684\u7b56\u7565\u53d8\u5316\u5bc6\u5ea6\u6982\u5ff5\uff0c\u5c06\u535a\u5f08\u503c\u7684\u5168\u5c40\u53d8\u5316\u5206\u89e3\u4e3a\u6bcf\u4e2a\u4fe1\u606f\u96c6\u4e0a\u7684\u7b56\u7565\u53d8\u5316\u3002\u5728\u6b64\u57fa\u7840\u4e0a\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u8054\u5408\u7b56\u7565\u641c\u7d22(JPS) \uff0c\u5728\u4e0d\u5b8c\u5168\u4fe1\u606f\u535a\u5f08\u4e2d\u8fed\u4ee3\u5730\u6539\u8fdb\u534f\u540c\u4ee3\u7406\u7684\u8054\u5408\u7b56\u7565\uff0c\u800c\u4e0d\u9700\u8981\u91cd\u65b0\u8bc4\u4f30\u6574\u4e2a\u535a\u5f08\u3002\u5728\u591a\u667a\u80fd\u4f53\u534f\u4f5c\u8868\u683c\u6e38\u620f\u4e2d\uff0cJPS \u88ab\u8bc1\u660e\u6c38\u8fdc\u4e0d\u4f1a\u964d\u4f4e\u6027\u80fd\uff0c\u5e76\u4e14\u53ef\u4ee5\u6539\u8fdb\u5355\u65b9\u9762\u65b9\u6cd5(\u4f8b\u5982 CFR)\u63d0\u4f9b\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u8fd9\u4e9b\u65b9\u6cd5\u7684\u6027\u80fd\u4f18\u4e8e\u4e3a\u534f\u4f5c\u7b56\u7565\u5b66\u4e60\u8bbe\u8ba1\u7684\u7b97\u6cd5(\u4f8b\u5982 BAD)\u3002\u6b64\u5916\uff0c\u5bf9\u4e8e\u771f\u5b9e\u4e16\u754c\u7684\u6e38\u620f\uff0cJPS \u6709\u4e00\u4e2a\u5728\u7ebf\u5f62\u5f0f\uff0c\u81ea\u7136\u4e0e\u68af\u5ea6\u66f4\u65b0\u94fe\u63a5\u3002\u6211\u4eec\u5c06\u5176\u6d4b\u8bd5\u5230\u201c\u5408\u540c\u6865\u6881\u201d\u4e0a\uff0c\u8fd9\u662f\u4e00\u4e2a4\u4eba\u7684\u4e0d\u5b8c\u5168\u4fe1\u606f\u6e38\u620f\uff0c\u5176\u4e2d\u4e00\u4e2a2\u4eba\u7684\u56e2\u961f\u5c06\u4e0e\u53e6\u4e00\u4e2a\u56e2\u961f\u8fdb\u884c\u7ade\u4e89\u3002\u5728\u6295\u6807\u9636\u6bb5\uff0c\u53c2\u4e0e\u8005\u4f9d\u6b21\u901a\u8fc7\u6709\u9650\u7684\u4fe1\u606f\u6e20\u9053\u6295\u6807\u4ee5\u5bfb\u6c42\u4e00\u4efd\u597d\u7684\u5408\u540c\u3002\u57fa\u4e8e\u4e00\u4e2a\u5f3a\u5927\u7684\u57fa\u7ebf\u4ee3\u7406\uff0c\u7eaf\u7cb9\u901a\u8fc7\u9886\u57df\u4e0d\u53ef\u77e5\u7684\u81ea\u6211\u53d1\u6325\u6765\u6295\u6807\u7ade\u4e89\u6027\u6865\u6881\uff0cJPS \u6539\u5584\u4e86\u56e2\u961f\u6210\u5458\u4e4b\u95f4\u7684\u534f\u4f5c\uff0c\u5e76\u4e14\u8d85\u8fc7\u4e86\u8d62\u5f97\u51a0\u519b\u7684\u8f6f\u4ef6 WBridge5\uff0c\u8d85\u8fc71000\u573a\u6bd4\u8d5b\uff0c\u6bcf\u5c40\u83b7\u5f97 + 0.63 imp (\u56fd\u9645\u5339\u914d\u70b9) \uff0c\u5927\u5927\u4f18\u4e8e\u4ee5\u524d\u7684 SoTA (+ 0.41 imp\/b)\u3002\u6ce8\u610f\uff0c+ 0.1 imp\/b \u88ab\u8ba4\u4e3a\u662f\u8ba1\u7b97\u673a\u6865\u7684\u4e00\u4e2a\u91cd\u5927\u6539\u8fdb\u3002<\/span><\/section>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u591a\u4e3b\u4f53\u6df1\u5ea6\u5f3a\u5316\u5b66\u4e60<\/strong><\/span><\/p>\n

    \u5728\u8f66\u8f86\u4e91\u7f51\u7edc\u4e2d\u542f\u7528\u8ba1\u7b97\u8d44\u6e90\u5206\u914d<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n

    Multi-Agent Deep Reinforcement Learning enabled Computation Resource Allocation in a Vehicular Cloud Network<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    https:\/\/arxiv.org\/abs\/2008.06464<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Shilin Xu,Caili Guo,Rose Qingyang Hu,Yi Qian<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u7814\u7a76\u4e86\u6ca1\u6709\u96c6\u4e2d\u57fa\u7840\u8bbe\u65bd\u652f\u6301\u7684\u5206\u5e03\u5f0f Ad-Hoc \u8f66\u8f86\u7f51\u7edc\u4e2d\u7684\u8ba1\u7b97\u8d44\u6e90\u5206\u914d\u95ee\u9898\u3002\u4e3a\u4e86\u6ee1\u8db3\u8fd9\u6837\u4e00\u4e2a\u8f66\u8f86\u7f51\u7edc\u4e2d\u4e0d\u65ad\u589e\u957f\u7684\u8ba1\u7b97\u9700\u6c42\uff0c\u6211\u4eec\u6784\u5efa\u4e86\u5206\u5e03\u5f0f\u865a\u62df\u4e91\u7f51\u7edc(VCN) \uff0c\u5728\u6b64\u57fa\u7840\u4e0a\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u901a\u8fc7\u5728\u9644\u8fd1\u8f66\u8f86\u4e4b\u95f4\u5378\u8f7d\u6765\u5b9e\u73b0\u8ba1\u7b97\u8d44\u6e90\u5171\u4eab\u7684\u65b9\u6848\u3002\u9488\u5bf9 VCN \u4e2d\u7684\u65f6\u53d8\u8ba1\u7b97\u8d44\u6e90\uff0c\u8be6\u7ec6\u5206\u6790\u4e86\u8ba1\u7b97\u8d44\u6e90\u7684\u7edf\u8ba1\u5206\u5e03\u7279\u6027\u3002\u56e0\u6b64\uff0c\u63d0\u51fa\u4e86\u4e00\u79cd\u8d44\u6e90\u611f\u77e5\u7684\u7ec4\u5408\u4f18\u5316\/\u76ee\u6807\u673a\u5236\u3002\u4e3a\u4e86\u7f13\u89e3 VCN \u5178\u578b\u7684\u591a agent \u73af\u5883\u9020\u6210\u7684\u975e\u5e73\u7a33\u73af\u5883\uff0c\u6211\u4eec\u91c7\u7528\u4e86\u96c6\u4e2d\u8bad\u7ec3\u548c\u5206\u6563\u6267\u884c\u6846\u67b6\u3002\u6b64\u5916\uff0c\u5bf9\u4e8e\u76ee\u6807\u6700\u4f73\u5316\u95ee\u9898\uff0c\u6211\u4eec\u5c06\u5176\u5efa\u6a21\u4e3a\u4e00\u4e2a Markov \u535a\u5f08\uff0c\u5e76\u63d0\u51fa\u4e86\u4e00\u4e2a\u57fa\u4e8e DRL \u7684\u591a\u667a\u80fd\u4f53\u6df1\u5ea6\u786e\u5b9a\u6027\u5f3a\u5316\u5b66\u4e60\u7b97\u6cd5(MADDPG)\u6765\u89e3\u51b3\u5b83\u3002\u6709\u8da3\u7684\u662f\uff0c\u4e3a\u4e86\u514b\u670d VCN \u4e2d\u7f3a\u5c11\u771f\u6b63\u7684\u4e2d\u592e\u63a7\u5236\u5355\u5143\u7684\u56f0\u5883\uff0c\u5206\u914d\u5b9e\u9645\u4e0a\u662f\u4ee5\u5206\u5e03\u5f0f\u7684\u65b9\u5f0f\u5728\u8f66\u8f86\u4e0a\u5b8c\u6210\u7684\u3002\u4eff\u771f\u7ed3\u679c\u8bc1\u660e\u4e86\u8be5\u65b9\u6848\u7684\u6709\u6548\u6027\u3002<\/span><\/section>\n


    <\/span><\/h2>\n
    \n
    \n
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    <\/p>\n

    \n
    \n
    <\/p>\n

    \u5316\u5b66\u6df7\u6c8c\u4e2d\u4ea7\u751f\u71b5\u7684\u968f\u673a\u65b9\u6cd5<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n

    Stochastic approach to entropy production in chemical chaos<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    http:\/\/arxiv.org\/abs\/2008.06437<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Pierre Gaspard<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u63d0\u51fa\u4e86\u5728\u968f\u673a\u53cd\u5e94\u7cfb\u7edf\u4e2d\u8ba1\u7b97\u4ea7\u751f\u71b5\u7684\u65b9\u6cd5\u3002\u8fd9\u4e9b\u65b9\u6cd5\u88ab\u8bc1\u660e\u4e0e\u975e\u5e73\u8861\u5316\u5b66\u70ed\u529b\u5b66\u7684\u5df2\u77e5\u7ed3\u679c\u662f\u4e00\u81f4\u7684\u3002\u6b64\u5916\uff0c\u8fd8\u8bc1\u660e\u4e86\u5728\u968f\u673a\u8fc7\u7a0b\u548c\u786e\u5b9a\u6027\u7cfb\u7edf\u4e2d\uff0c\u4ea7\u751f\u71b5\u7684\u65f6\u95f4\u5e73\u5747\u53ef\u5206\u89e3\u4e3a\u7531\u5316\u5b66\u8ba1\u91cf\u77e9\u9635\u5f97\u5230\u7684\u5faa\u73af\u7684\u8d21\u732e\u3002\u5c06\u8fd9\u4e9b\u65b9\u6cd5\u5e94\u7528\u4e8e\u57fa\u4e8e\u7f57\u65af\u52d2\u56de\u6ce8\u539f\u7406\u6784\u9020\u7684\u5177\u6709\u5316\u5b66\u6df7\u6c8c\u7279\u5f81\u7684\u590d\u6742\u53cd\u5e94\u7f51\u7edc\u3002<\/span><\/section>\n


    <\/span><\/h2>\n
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    \n
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    <\/p>\n

    \n
    \n
    <\/p>\n

    \u7f51\u7edc\u8fc7\u6ee4\u7edf\u8ba1\u8d44\u6599<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/h2>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n

    Filtering Statistics on Networks<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    http:\/\/arxiv.org\/abs\/2008.06383<\/span><\/section>\n
    \u4f5c<\/span><\/strong>\u8005\uff1a<\/strong><\/span><\/section>\n
    G. J. Baxter,R. A. da Costa,S. N. Dorogovtsev,J. F. F. Mendes<\/span><\/section>\n

    <\/section>\n
    \u6458<\/span><\/strong>\u8981\uff1a<\/strong>\u4f5c\u4e3a\u590d\u6742\u7cfb\u7edf\u4e2d\u4fe1\u606f\u5904\u7406\u7684\u4e00\u4e2a\u6613\u4e8e\u5904\u7406\u7684\u7b80\u5355\u4f8b\u5b50\uff0c\u6211\u4eec\u63a2\u8ba8\u4e86\u5728\u4e00\u4e9b\u786e\u5b9a\u6027\u548c\u968f\u673a\u56fe\u4e0a\u8fc7\u6ee4\u7b80\u5355\u6a21\u5f0f\u7684\u7edf\u8ba1\u65b9\u6cd5\u3002\u5728\u8fd9\u4e2a\u95ee\u9898\u4e2d\uff0c\u591a\u4e2a\u8f93\u5165\u6620\u5c04\u5230\u540c\u4e00\u4e2a\u8f93\u51fa\uff0c\u6ee4\u6ce2\u7684\u7edf\u8ba1\u91cf\u8868\u793a\u4e3a\u8fd9\u79cd\u7b80\u5e76\u5ea6\u7684\u5206\u5e03\u3002\u5bf9\u4e8e\u4e00\u4e2a\u73af\u4e0a\u7684\u51e0\u4e2a\u7b80\u5355\u7684\u6ee4\u6ce2\u5668\u6a21\u5f0f\uff0c\u6211\u4eec\u5f97\u5230\u4e86\u95ee\u9898\u7684\u7cbe\u786e\u89e3\uff0c\u5e76\u7528\u6570\u503c\u65b9\u6cd5\u63cf\u8ff0\u4e86\u66f4\u56f0\u96be\u7684\u6ee4\u6ce2\u5668\u8bbe\u7f6e\u3002\u5bf9\u4e8e\u6bcf\u4e2a\u8fc7\u6ee4\u5668\u6a21\u5f0f\u548c\u7f51\u7edc\uff0c\u6211\u4eec\u627e\u5230\u4e00\u4e9b\u6570\u5b57\u672c\u8d28\u4e0a\u63cf\u8ff0\u4e86\u8fc7\u6ee4\u7684\u7edf\u8ba1\uff0c\u5e76\u5bf9\u4e0d\u540c\u7684\u7f51\u7edc\u8fdb\u884c\u4e86\u6bd4\u8f83\u3002\u5bf9\u4e8e\u4e0d\u540c\u7ed3\u6784\u7684\u7f51\u7edc\uff0c\u6211\u4eec\u7684\u7ed3\u679c\u4f3c\u4e4e\u57fa\u672c\u4e0a\u7531\u4e24\u4e2a\u56e0\u7d20\u51b3\u5b9a: \u56fe\u7684\u7ed3\u6784\u662f\u786e\u5b9a\u7684\u8fd8\u662f\u968f\u673a\u7684\uff0c\u4ee5\u53ca\u9876\u70b9\u5ea6\u3002\u6211\u4eec\u53d1\u73b0\u5728\u968f\u673a\u56fe\u4e2d\u8fdb\u884c\u6ee4\u6ce2\u6bd4\u5728\u786e\u5b9a\u6027\u56fe\u4e2d\u4ea7\u751f\u66f4\u4e30\u5bcc\u7684\u7edf\u8ba1\u4fe1\u606f\u3002\u8fd9\u79cd\u7edf\u8ba1\u4e30\u5bcc\u6027\u662f\u901a\u8fc7\u589e\u52a0\u56fe\u7684\u5ea6\u6765\u51cf\u5c11\u7684\u3002<\/span><\/section>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u89c6\u9891\u6e38\u620f\u4e2d\u9897\u7c92\u4ecb\u8d28\u7684<\/strong><\/span><\/p>\n

    \u6982\u7387\u5143\u80de\u81ea\u52a8\u673a<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n

    Probabilistic Cellular Automata for Granular Media in Video Games<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    http:\/\/arxiv.org\/abs\/2008.06341<\/span><\/section>\n
    \u4f5c\u8005<\/span><\/strong>\uff1a<\/span><\/strong><\/span><\/section>\n
    Jonathan Devlin,Micah D. Schuster<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u7c92\u72b6\u6750\u6599\u5728\u65e5\u5e38\u751f\u6d3b\u4e2d\u975e\u5e38\u666e\u904d\u3002\u6c99\u5b50\u3001\u571f\u58e4\u3001\u783e\u77f3\u3001\u98df\u54c1\u3001\u836f\u54c1\u7b49\u4ecb\u8d28\u90fd\u662f\u7531\u5927\u91cf\u7684\u56fa\u4f53\u5c0f\u9897\u7c92\u7ec4\u6210\uff0c\u5177\u6709\u76f8\u4f3c\u7684\u4e0d\u89c4\u5219\u6d41\u52a8\u3002\u5728\u7535\u5b50\u6e38\u620f\u4e2d\uff0c\u6a21\u62df\u8fd9\u4e9b\u6750\u6599\u53ef\u4ee5\u589e\u52a0\u6c89\u6d78\u611f\uff0c\u5e76\u53ef\u7528\u4e8e\u5404\u79cd\u6e38\u620f\u673a\u5236\u3002\u8ba1\u7b97\u4e0a\uff0c\u5168\u9762\u7684\u6a21\u62df\u901a\u5e38\u662f\u4e0d\u53ef\u884c\u7684\uff0c\u9664\u975e\u5728\u6700\u5f3a\u5927\u7684\u786c\u4ef6\u548c\u5f80\u5f80\u51cf\u5c11\u4f18\u5148\u6743\uff0c\u4ee5\u6709\u5229\u4e8e\u5176\u4ed6\uff0c\u66f4\u52a0\u5b8c\u6574\u7684\uff0c\u6e38\u620f\u6027\u7684\u7279\u70b9\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u7814\u7a76\u7684\u8ba1\u7b97\u548c\u5b9a\u6027\u65b9\u9762\u7684\u6c99\u7c92\u4fa7\u5256\u9762\u6d41\u4f7f\u7528\u7ec6\u80de\u81ea\u52a8\u673a(CA)\u3002\u6211\u4eec\u7684 CA \u4f7f\u7528\u4e00\u4e2a\u6807\u51c6\u7684\u6b63\u65b9\u5f62\u683c\u5b50\uff0c\u901a\u8fc7\u4e00\u4e2a\u81ea\u5b9a\u4e49\u7684\u3001\u4fee\u6539\u8fc7\u7684 Margolus \u90bb\u5c45\u6765\u66f4\u65b0\u3002\u6bcf\u6b21\u66f4\u65b0\u90fd\u4f7f\u7528\u4e00\u7ec4\u6982\u7387\u8dc3\u8fc1\uff0c\u53ef\u4ee5\u8c03\u6574\u8fd9\u4e9b\u8dc3\u8fc1\u6765\u6a21\u62df\u7c92\u5b50\u4e4b\u95f4\u7684\u6469\u64e6\u3002\u6211\u4eec\u91cd\u70b9\u5173\u6ce8\u6c99\u6f0f\u7ed3\u6784\u7684\u5916\u89c2\u521b\u5efa\u4e00\u4e2a\u6c99\u6f0f\u5f62\u72b6\u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\u4f7f\u7528\u4e0d\u540c\u7684\u8fc7\u6e21\u6982\u7387\u548c\u8fd9\u6837\u4e00\u4e2a\u6a21\u62df\u7684\u8ba1\u7b97\u5f71\u54cd\u3002<\/span><\/section>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u57fa\u4e8e\u56fe\u795e\u7ecf\u7f51\u7edc\u7684<\/strong><\/span><\/p>\n

    \u6d1b\u4f26\u5179\u589e\u5f3a\u73bb\u8272\u5b50\u76d1\u7763\u5c04\u6d41\u805a\u7c7b<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n

    Supervised Jet Clustering with Graph Neural Networks for Lorentz Boosted Bosons<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    http:\/\/arxiv.org\/abs\/2008.06064<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Xiangyang Ju,Benjamin Nachman<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5c04\u6d41\u805a\u96c6\u4f20\u7edf\u4e0a\u662f\u4e00\u4e2a\u975e\u76d1\u7763\u5f0f\u5b66\u4e60\u4efb\u52a1\uff0c\u56e0\u4e3a\u6ca1\u6709\u72ec\u7279\u7684\u65b9\u5f0f\u5c06\u5f3a\u5b50\u672b\u6001\u4e0e\u4ea7\u751f\u5b83\u4eec\u7684\u5938\u514b\u548c\u80f6\u5b50\u81ea\u7531\u5ea6\u8054\u7cfb\u8d77\u6765\u3002\u7136\u800c\uff0c\u5bf9\u4e8e\u50cf w\uff0cz\uff0c\u548c Higgs \u73bb\u8272\u5b50\u8fd9\u6837\u7684\u65e0\u8272\u7c92\u5b50\uff0c\u7cbe\u786e\u5730(\u867d\u7136\u4e0d\u5b8c\u5168)\u5c06\u6700\u7ec8\u6001\u5f3a\u5b50\u4e0e\u5b83\u4eec\u7684\u7956\u5148\u8054\u7cfb\u8d77\u6765\u662f\u53ef\u80fd\u7684\u3002\u901a\u8fc7\u5c06\u6a21\u62df\u7684\u6700\u7ec8\u6001\u5f3a\u5b50\u6807\u8bb0\u4e3a\u4ece\u672a\u7740\u8272\u7684\u7c92\u5b50\u4e0b\u964d\uff0c\u53ef\u4ee5\u8bad\u7ec3\u4e00\u79cd\u76d1\u7763\u5f0f\u5b66\u4e60\u65b9\u6cd5\u6765\u5b66\u4e60\u5236\u9020\u73bb\u8272\u5b50\u55b7\u6d41\u3002\u8fd9\u79cd\u65b9\u6cd5\u4e3b\u8981\u662f\u5bf9\u5355\u4e2a\u7c92\u5b50\u8fdb\u884c\u64cd\u4f5c\uff0c\u5e76\u786e\u5b9a\u6765\u81ea\u540c\u4e00\u4e2a\u672a\u7740\u8272\u7c92\u5b50\u7684\u7c92\u5b50\u4e4b\u95f4\u7684\u8054\u7cfb\u3002\u56fe\u5f62\u795e\u7ecf\u7f51\u7edc\u975e\u5e38\u9002\u5408\u4e8e\u8fd9\u4e2a\u76ee\u7684\uff0c\u56e0\u4e3a\u5b83\u4eec\u53ef\u4ee5\u4f5c\u7528\u4e8e\u65e0\u5e8f\u96c6\u5408\uff0c\u5e76\u4e14\u81ea\u7136\u5730\u5728\u5177\u6709\u76f8\u540c\u6807\u7b7e\u7684\u7c92\u5b50\u4e4b\u95f4\u521b\u5efa\u5f3a\u5927\u7684\u8fde\u63a5\u3002\u8fd9\u4e9b\u7f51\u7edc\u88ab\u7528\u6765\u8bad\u7ec3\u4e00\u4e2a\u6709\u76d1\u7763\u7684\u55b7\u6d41\u805a\u7c7b\u7b97\u6cd5\u3002\u8fd9\u4e9b\u56fe\u5f62\u5c04\u6d41\u7684\u8fd0\u52a8\u5b66\u7279\u6027\u4e0e\u6a21\u62df\u6d1b\u4f26\u5179\u589e\u5f3a w \u73bb\u8272\u5b50\u7684\u8fd0\u52a8\u5b66\u7279\u6027\u66f4\u52a0\u543b\u5408\u3002\u6b64\u5916\uff0c\u56fe\u4e2d\u7684\u55b7\u6d41\u5305\u542b\u4e86\u66f4\u591a\u7684\u4fe1\u606f\u6765\u533a\u5206 w \u55b7\u6d41\u548c\u666e\u901a\u5938\u514b\u55b7\u6d41\u3002\u8fd9\u9879\u5de5\u4f5c\u6807\u5fd7\u7740\u5728\u55b7\u6c14\u7269\u7406\u5b66\u4e2d\u4e00\u4e2a\u65b0\u7684\u63a2\u7d22\u7684\u5f00\u59cb\uff0c\u4f7f\u7528\u673a\u5668\u5b66\u4e60\u6765\u4f18\u5316\u55b7\u6c14\u673a\u7684\u7ed3\u6784\uff0c\u800c\u4e0d\u4ec5\u4ec5\u662f\u4ece\u55b7\u6c14\u6210\u5206\u4e2d\u8ba1\u7b97\u51fa\u6765\u7684\u53ef\u89c2\u6d4b\u91cf\u3002<\/span><\/section>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u4f7f\u7528\u7a00\u6709\u6570\u636e\u5b66\u4e60:<\/strong><\/span><\/p>\n

    \u4f7f\u7528\u4e3b\u52a8\u91cd\u8981\u6027\u62bd\u6837<\/strong><\/span><\/p>\n

    \u4f18\u5316\u7a00\u6709\u4e8b\u4ef6\u4e3b\u5bfc\u7684\u76ee\u6807<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n

    Learning with rare data: Using active importance sampling to optimize objectives dominated by rare events<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    http:\/\/arxiv.org\/abs\/2008.06334<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Grant M. Rotskoff,Eric Vanden-Eijnden<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\uff0c\u5f53\u4f18\u5316\u6709\u8db3\u591f\u7684\u6570\u636e\u65f6\uff0c\u63d0\u4f9b\u4e86\u9ad8\u7ef4\u51fd\u6570\u7684\u7cbe\u786e\u8868\u793a; \u76f8\u6bd4\u4e4b\u4e0b\uff0c\u5728\u79d1\u5b66\u8ba1\u7b97\u4e2d\u5360\u4e3b\u5bfc\u5730\u4f4d\u7684\u51fd\u6570\u903c\u8fd1\u6280\u672f\u4e0d\u80fd\u5f88\u597d\u5730\u6309\u7ef4\u5ea6\u8fdb\u884c\u4f38\u7f29\u3002\u56e0\u6b64\uff0c\u8bb8\u591a\u9ad8\u7ef4\u62bd\u6837\u548c\u8fd1\u4f3c\u95ee\u9898\u4e00\u5ea6\u88ab\u8ba4\u4e3a\u662f\u96be\u4ee5\u89e3\u51b3\u7684\u91cd\u65b0\u900f\u8fc7\u673a\u5668\u5b66\u4e60\u7684\u955c\u5934\u3002\u867d\u7136\u627f\u8bfa\u65e0\u4e0e\u4f26\u6bd4\u7684\u51c6\u786e\u6027\u53ef\u80fd\u610f\u5473\u7740\u9700\u8981\u53c2\u6570\u5316\u590d\u6742\u7cfb\u7edf\u8868\u793a\u7684\u5e94\u7528\u7a0b\u5e8f\u7684\u590d\u5174\uff0c\u4f46\u5728\u8bb8\u591a\u5e94\u7528\u7a0b\u5e8f\u4e2d\uff0c\u6536\u96c6\u8db3\u591f\u7684\u6570\u636e\u6765\u5f00\u53d1\u8fd9\u79cd\u8868\u793a\u4ecd\u7136\u662f\u4e00\u4e2a\u91cd\u5927\u6311\u6218\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u4ecb\u7ecd\u4e86\u4e00\u79cd\u65b9\u6cd5\uff0c\u7ed3\u5408\u7a00\u6709\u4e8b\u4ef6\u62bd\u6837\u6280\u672f\u548c\u795e\u7ecf\u7f51\u7edc\u4f18\u5316\u76ee\u6807\u51fd\u6570\u7684\u4f18\u5316\u662f\u7a00\u6709\u4e8b\u4ef6\u4e3a\u4e3b\u3002\u6211\u4eec\u8bc1\u660e\u4e86\u91cd\u8981\u6027\u62bd\u6837\u51cf\u5c11\u4e86\u5b66\u4e60\u95ee\u9898\u89e3\u7684\u6e10\u8fd1\u65b9\u5dee\uff0c\u663e\u793a\u4e86\u6cdb\u5316\u7684\u597d\u5904\u3002\u6211\u4eec\u5728\u5b66\u4e60\u4e00\u4e2a\u7cfb\u7edf\u7684\u4e24\u4e2a\u72b6\u6001\u4e4b\u95f4\u7684\u52a8\u6001\u8f6c\u6362\u8def\u5f84\u7684\u80cc\u666f\u4e0b\u7814\u7a76\u6211\u4eec\u7684\u7b97\u6cd5\uff0c\u8fd9\u4e2a\u95ee\u9898\u5728\u7edf\u8ba1\u7269\u7406\u5b66\u548c\u673a\u5668\u5b66\u4e60\u7406\u8bba\u4e2d\u90fd\u6709\u5e94\u7528\u3002\u6211\u4eec\u7684\u6570\u503c\u5b9e\u9a8c\u8868\u660e\uff0c\u5373\u4f7f\u5728\u9ad8\u7ef4\u6570\u636e\u548c\u7a00\u758f\u6570\u636e\u7684\u590d\u5408\u56f0\u96be\u4e0b\uff0c\u6211\u4eec\u4e5f\u53ef\u4ee5\u6210\u529f\u5730\u8fdb\u884c\u5b66\u4e60\u3002<\/span><\/section>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    ALONE:<\/strong><\/span><\/p>\n

    \u63a8\u7279\u4e0a\u9752\u5c11\u5e74\u6709\u5bb3\u884c\u4e3a\u7684\u6570\u636e\u96c6<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n

    ALONE: A Dataset for Toxic Behavior among Adolescents on Twitter<\/span><\/span><\/strong><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    http:\/\/arxiv.org\/abs\/2008.06465<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Thilini Wijesiriwardene,Hale Inan,Ugur Kursuncu,Manas Gaur,Valerie L. Shalin,Krishnaprasad Thirunarayan,Amit Sheth,I. Budak Arpinar<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u793e\u4ea4\u5a92\u4f53\u7684\u4fbf\u5229\u6027\u4e5f\u52a9\u957f\u4e86\u5b83\u7684\u6ee5\u7528\uff0c\u53ef\u80fd\u5bfc\u81f4\u6709\u5bb3\u7684\u884c\u4e3a\u3002\u8fd166% \u7684\u4e92\u8054\u7f51\u7528\u6237\u89c2\u5bdf\u5230\u8fc7\u7f51\u7edc\u9a9a\u6270\uff0c41% \u58f0\u79f0\u6709\u8fc7\u4e2a\u4eba\u7ecf\u5386\uff0c18% \u9762\u4e34\u4e25\u91cd\u7684\u7f51\u7edc\u9a9a\u6270\u3002\u8fd9\u79cd\u6709\u5bb3\u7684\u4ea4\u6d41\u5bf9\u5e74\u8f7b\u4eba\u7684\u5e78\u798f\u6709\u7740\u91cd\u5927\u7684\u5f71\u54cd\uff0c\u5f71\u54cd\u7740\u4ed6\u4eec\u7684\u5fc3\u7406\u5065\u5eb7\uff0c\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\u751a\u81f3\u5bfc\u81f4\u81ea\u6740\u3002\u8fd9\u4e9b\u4ea4\u9645\u5177\u6709\u590d\u6742\u7684\u8bed\u8a00\u7279\u5f81\u548c\u8bed\u5883\u7279\u5f81\uff0c\u4f7f\u5f97\u5bf9\u8fd9\u4e9b\u53d9\u4e8b\u7684\u8bc6\u522b\u5177\u6709\u6311\u6218\u6027\u3002\u5728\u8fd9\u7bc7\u8bba\u6587\u4e2d\uff0c\u6211\u4eec\u63d0\u4f9b\u4e86\u4e00\u4e2a\u591a\u6a21\u5f0f\u7684\u793e\u4f1a\u5a92\u4f53\u76f8\u4e92\u4f5c\u7528\u7684\u786e\u8ba4\u9ad8\u4e2d\u751f\u4e4b\u95f4\u7684\u6570\u636e\u96c6\uff0c\u53eb\u505a ALONE (\u9752\u5c11\u5e74\u5728 twittEr \u4e0a) \uff0c\u4ee5\u53ca\u63cf\u8ff0\u6027\u7684\u89e3\u91ca\u3002\u6bcf\u4e2a\u4e92\u52a8\u5b9e\u4f8b\u5305\u62ec tweets\u3001\u56fe\u7247\u3001\u8868\u60c5\u7b26\u53f7\u548c\u76f8\u5173\u7684\u5143\u6570\u636e\u3002\u6211\u4eec\u7684\u89c2\u5bdf\u8868\u660e\uff0c\u5355\u72ec\u7684\u63a8\u6587\u5e76\u4e0d\u80fd\u4e3a\u6709\u6bd2\u884c\u4e3a\u63d0\u4f9b\u8db3\u591f\u7684\u8bc1\u636e\uff0c\u800c\u5728\u4e92\u52a8\u4e2d\u6709\u610f\u4e49\u5730\u4f7f\u7528\u4e0a\u4e0b\u6587\u53ef\u4ee5\u4f7f\u63a8\u6587\u7a81\u51fa\u663e\u793a\u6216\u514d\u9664\u6240\u8c13\u7684\u6bd2\u6027\u3002<\/span><\/section>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u57fa\u4e8e BERT \u6a21\u578b\u7684<\/strong><\/span><\/p>\n

    \u793e\u4ea4\u5a92\u4f53\u4ec7\u6068\u8a00\u8bba\u68c0\u6d4b<\/strong><\/span><\/p>\n

    \u4e0e\u79cd\u65cf\u504f\u89c1\u7f13\u89e3<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n

    Hate Speech Detection and Racial Bias Mitigation in Social Media based on BERT model<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    http:\/\/arxiv.org\/abs\/2008.06460<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Marzieh Mozafari,Reza Farahbakhsh,Noel Crespi<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u9488\u5bf9\u4ec7\u6068\u6027\u548c\u6ee5\u7528\u6027\u5185\u5bb9\u8bc6\u522b\u4efb\u52a1\uff0c\u4e0e\u6570\u636e\u96c6\u548c\u8bad\u7ec3\u5206\u7c7b\u5668\u76f8\u5173\u7684\u4e0d\u540c\u504f\u5dee\u5f15\u8d77\u4e86\u4eba\u4eec\u7684\u5e7f\u6cdb\u5173\u6ce8\u3002\u867d\u7136\u6709\u5173\u6ee5\u7528\u8bed\u8a00\u68c0\u6d4b\u7684\u504f\u5dee\u6570\u636e\u96c6\u95ee\u9898\u5df2\u7ecf\u5f97\u5230\u4e86\u8f83\u4e3a\u9891\u7e41\u7684\u5904\u7406\uff0c\u4f46\u662f\u8bad\u7ec3\u6709\u7d20\u7684\u5206\u7c7b\u5668\u6240\u4ea7\u751f\u7684\u504f\u5dee\u8fd8\u6ca1\u6709\u5f15\u8d77\u4eba\u4eec\u7684\u5173\u6ce8\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u9996\u5148\u4ecb\u7ecd\u4e00\u79cd\u57fa\u4e8e\u73b0\u6709\u7684\u9884\u5148\u8bad\u7ec3\u7684\u8bed\u8a00\u6a21\u578b BERT \u7684\u4ec7\u6068\u8a00\u8bba\u68c0\u6d4b\u8f6c\u79fb\u5b66\u4e60\u65b9\u6cd5\uff0c\u5e76\u5728\u4e24\u4e2a\u516c\u5f00\u53ef\u7528\u7684\u6570\u636e\u96c6\u4e0a\u8bc4\u4f30\u63d0\u8bae\u7684\u6a21\u578b\uff0c\u8fd9\u4e24\u4e2a\u6570\u636e\u96c6\u5728\u63a8\u7279\u4e0a\u88ab\u6ce8\u91ca\u4e3a\u79cd\u65cf\u4e3b\u4e49\u3001\u6027\u522b\u6b67\u89c6\u3001\u4ec7\u6068\u6216\u653b\u51fb\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u4ecb\u7ecd\u4e86\u4e00\u79cd\u504f\u89c1\u7f13\u89e3\u673a\u5236\uff0c\u4ee5\u51cf\u8f7b\u5728\u6211\u4eec\u7684\u57fa\u4e8e bert \u7684\u4ec7\u6068\u8a00\u8bba\u68c0\u6d4b\u6a21\u578b\u7684\u5fae\u8c03\u8fc7\u7a0b\u4e2d\u7684\u8bad\u7ec3\u96c6\u504f\u89c1\u7684\u5f71\u54cd\u3002\u4e3a\u6b64\uff0c\u6211\u4eec\u4f7f\u7528\u6b63\u5219\u5316\u65b9\u6cd5\u5bf9\u8f93\u5165\u6837\u672c\u91cd\u65b0\u8d4b\u6743\uff0c\u4ece\u800c\u51cf\u5c11\u4e86\u9ad8\u76f8\u5173\u8bad\u7ec3\u96c6\u7684 n-gram \u5e26\u6709\u7c7b\u6807\u7b7e\u7684\u5f71\u54cd\uff0c\u7136\u540e\u7528\u65b0\u7684\u91cd\u65b0\u8d4b\u6743\u6837\u672c\u5bf9\u6211\u4eec\u7684\u57fa\u4e8e bert \u7684\u9884\u8bad\u7ec3\u6a21\u578b\u8fdb\u884c\u5fae\u8c03\u3002\u4e3a\u4e86\u8bc4\u4f30\u6211\u4eec\u7684\u504f\u89c1\u7f13\u89e3\u673a\u5236\uff0c\u6211\u4eec\u91c7\u7528\u4e86\u4e00\u79cd\u8de8\u57df\u65b9\u6cd5\uff0c\u6211\u4eec\u4f7f\u7528\u4e0a\u8ff0\u6570\u636e\u96c6\u4e0a\u7684\u8bad\u7ec3\u5206\u7c7b\u5668\u6765\u9884\u6d4b\u6765\u81ea Twitter \u7684\u4e24\u4e2a\u65b0\u6570\u636e\u96c6\u7684\u6807\u7b7e\uff0cAAE \u548c White-aligned \u7ec4\uff0c\u5b83\u4eec\u5206\u522b\u8868\u793a\u7528\u975e\u88d4\u7f8e\u56fd\u4eba\u82f1\u8bed(AAE)\u548c\u6807\u51c6\u7f8e\u56fd\u4eba\u82f1\u8bed(SAE)\u5199\u7684 tweets\u3002\u7ed3\u679c\u663e\u793a\uff0c\u53d7\u8fc7\u8bad\u7ec3\u7684\u5206\u7c7b\u5668\u4e2d\u5b58\u5728\u7cfb\u7edf\u7684\u79cd\u65cf\u504f\u89c1\uff0c\u56e0\u4e3a\u4ed6\u4eec\u503e\u5411\u4e8e\u5c06 AAE \u7ed3\u76df\u7684\u7fa4\u4f53\u7528 AAE \u5199\u7684\u63a8\u6587\u5206\u914d\u5230\u8d1f\u9762\u7684\u7c7b\u522b\uff0c\u5982\u79cd\u65cf\u4e3b\u4e49\u3001\u6027\u522b\u6b67\u89c6\u3001\u4ec7\u6068\u548c\u5192\u72af\uff0c\u8fd9\u6bd4\u7528 SAE \u5199\u7684\u767d\u4eba\u7ed3\u76df\u7684\u63a8\u6587\u66f4\u5e38\u89c1\u3002\u7136\u800c\uff0c\u5728\u6211\u4eec\u7684\u504f\u8bef\u7f13\u89e3\u673a\u5236\u4e2d\u52a0\u5165\u79cd\u65cf\u504f\u8bef\u540e\uff0c\u6211\u4eec\u7684\u91cf\u8bcd\u4e2d\u7684\u79cd\u65cf\u504f\u8bef\u663e\u8457\u51cf\u5c11\u3002\u8fd9\u9879\u5de5\u4f5c\u53ef\u4ee5\u4e3a\u6d88\u9664\u4ec7\u6068\u8a00\u8bba\u548c\u8fb1\u9a82\u6027\u8bed\u8a00\u68c0\u6d4b\u7cfb\u7edf\u8fc8\u51fa\u7b2c\u4e00\u6b65\u3002<\/span><\/section>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    MILE\uff1a\u53ef\u6269\u5c55\u56fe\u5d4c\u5165\u7684\u591a\u5c42\u6b21\u6846\u67b6<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n

    MILE: A Multi-Level Framework for Scalable Graph Embedding<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    https:\/\/arxiv.org\/abs\/1802.09612<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Jiongqian Liang,Saket Gurukar,Srinivasan Parthasarathy<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u8fd1\u5e74\u6765\uff0c\u56fe\u5d4c\u5165\u65b9\u6cd5\u7684\u8bbe\u8ba1\u5f15\u8d77\u4e86\u4eba\u4eec\u6781\u5927\u7684\u5174\u8da3\u3002\u7531\u4e8e\u8ba1\u7b97\u590d\u6742\u6027\u548c\u5185\u5b58\u9700\u6c42\uff0c\u5f88\u5c11\u6709\u4eba\u80fd\u591f\u6269\u5c55\u5230\u5305\u542b\u6570\u767e\u4e07\u4e2a\u8282\u70b9\u7684\u5927\u578b\u56fe\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u901a\u8fc7\u5f15\u5165\u591a\u7ea7\u5d4c\u5165(multi- level Embedding\uff0cMILE)\u6846\u67b6\u2014\u2014\u4e00\u79cd\u5141\u8bb8\u73b0\u4ee3\u56fe\u5d4c\u5165\u65b9\u6cd5\u6269\u5c55\u5230\u5927\u578b\u56fe\u7684\u901a\u7528\u65b9\u6cd5\u2014\u2014\u6765\u653e\u677e\u8fd9\u79cd\u5c40\u9650\u6027\u3002MILE \u4f7f\u7528\u4e00\u79cd\u6df7\u5408\u5339\u914d\u6280\u672f\u53cd\u590d\u5730\u5c06\u56fe\u5f62\u7c97\u5316\u4e3a\u66f4\u5c0f\u7684\u56fe\u5f62\uff0c\u4ee5\u4fdd\u6301\u56fe\u5f62\u7684\u4e3b\u5e72\u7ed3\u6784\u3002\u7136\u540e\u5c06\u5df2\u6709\u7684\u5d4c\u5165\u65b9\u6cd5\u5e94\u7528\u4e8e\u7c97\u7cd9\u56fe\u4e0a\uff0c\u901a\u8fc7\u56fe\u7684\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u5bf9\u539f\u56fe\u7684\u5d4c\u5165\u8fdb\u884c\u6539\u8fdb\u3002\u8be5\u6846\u67b6\u4e0e\u5e95\u5c42\u56fe\u5d4c\u5165\u6280\u672f\u65e0\u5173\uff0c\u53ef\u4ee5\u5e94\u7528\u4e8e\u8bb8\u591a\u73b0\u6709\u7684\u56fe\u5d4c\u5165\u65b9\u6cd5\u800c\u4e0d\u9700\u8981\u4fee\u6539\u3002\u6211\u4eec\u5728\u51e0\u79cd\u5e38\u7528\u7684\u56fe\u5d4c\u5165\u6280\u672f\u4e0a\u91c7\u7528\u4e86\u6211\u4eec\u7684\u6846\u67b6\uff0c\u5e76\u5bf9\u771f\u5b9e\u4e16\u754c\u7684\u56fe\u8fdb\u884c\u4e86\u5d4c\u5165\u3002\u57285\u4e2a\u5927\u89c4\u6a21\u6570\u636e\u96c6\u4e0a\u7684\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u5bf9\u4e8e\u8282\u70b9\u5206\u7c7b\u4efb\u52a1\uff0c\u5728\u751f\u6210\u9ad8\u8d28\u91cf\u5d4c\u5165\u7684\u540c\u65f6\uff0cMILE \u663e\u8457\u63d0\u9ad8\u4e86\u56fe\u5f62\u5d4c\u5165\u7684\u901f\u5ea6(\u6570\u91cf\u7ea7)\u3002MILE \u53ef\u4ee5\u8212\u9002\u5730\u6269\u5c55\u5230\u4e00\u4e2a\u5305\u542b900\u4e07\u4e2a\u8282\u70b9\u548c4000\u4e07\u6761\u8fb9\u7684\u56fe\uff0c\u5728\u8fd9\u4e2a\u56fe\u4e0a\uff0c\u73b0\u6709\u7684\u65b9\u6cd5\u8981\u4e48\u8017\u5c3d\u5185\u5b58\uff0c\u8981\u4e48\u5728\u73b0\u4ee3\u5de5\u4f5c\u7ad9\u4e0a\u8ba1\u7b97\u65f6\u95f4\u8fc7\u957f\u3002\u6211\u4eec\u7684\u4ee3\u7801\u548c\u6570\u636e\u90fd\u662f\u516c\u5f00\u7684\uff0c\u5e76\u63d0\u4f9b\u4e86\u6dfb\u52a0\u65b0\u7684\u57fa\u5d4c\u5165\u65b9\u6cd5\u7684\u8be6\u7ec6\u8bf4\u660e: URL { this https URL }\u3002<\/span><\/section>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u4e00\u79cd\u5c3a\u5bf8\u5e76\u4e0d\u9002\u7528\u4e8e\u6240\u6709\u7684\u60c5\u51b5: <\/strong><\/span><\/p>\n

    Stack Overflow \u4e2d\u7684\u5fbd\u7ae0\u884c\u4e3a\u7814\u7a76<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n

    One Size Does Not Fit All: A Study of Badge Behavior in Stack Overflow<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    http:\/\/arxiv.org\/abs\/2008.06125<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Stav Yanovsky,Nicholas Hoernle,Omer Lev,Kobi Gal<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5fbd\u7ae0\u662f\u5728\u7ebf\u4ea4\u4e92\u7f51\u7ad9\u7684\u5730\u65b9\u7279\u8272\uff0c\u4ece\u95ee\u7b54\u7f51\u7ad9\u5230\u5171\u4e58\u7cfb\u7edf\uff0c\u90fd\u662f\u5bf9\u53c2\u4e0e\u8005\u8d21\u732e\u7684\u5956\u52b1\u3002\u672c\u6587\u7814\u7a76\u5fbd\u7ae0\u8bbe\u8ba1\u5982\u4f55\u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\u5f71\u54cd\u4eba\u4eec\u7684\u8d21\u732e\u548c\u884c\u4e3a\u3002\u8fc7\u53bb\u7684\u5de5\u4f5c\u5df2\u7ecf\u8868\u660e\uff0c\u5fbd\u7ae0\u4f1a\u201c\u5f15\u5bfc\u201d\u4eba\u4eec\u7684\u884c\u4e3a\uff0c\u4f7f\u4ed6\u4eec\u5728\u83b7\u5f97\u5fbd\u7ae0\u4e4b\u524d\u5927\u5e45\u589e\u52a0\u8d21\u732e\u91d1\u989d\uff0c\u4e4b\u540e\u7acb\u5373\u51cf\u5c11\u4ed6\u4eec\u7684\u8d21\u732e\uff0c\u56de\u5230\u4ed6\u4eec\u7684\u57fa\u51c6\u8d21\u732e\u6c34\u5e73\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0c\u6211\u4eec\u53d1\u73b0\u5bfc\u5411\u6548\u5e94\u53d6\u51b3\u4e8e\u7528\u6237\u7684\u7c7b\u578b\uff0c\u6b63\u5982\u7528\u6237\u8d21\u732e\u7684\u901f\u5ea6\u548c\u5f3a\u5ea6\u6240\u5efa\u6a21\u7684\u90a3\u6837\u3002\u6211\u4eec\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u6765\u533a\u5206\u4e0d\u540c\u7684\u7528\u6237\u6d3b\u52a8\u7ec4\uff0c\u5305\u62ec\u90a3\u4e9b\u5c3d\u7ba1\u662f\u7ad9\u70b9\u7684\u91cd\u8981\u8d21\u732e\u8005\u4f46\u4e0d\u53d7\u5fbd\u7ae0\u7cfb\u7edf\u5f71\u54cd\u7684\u7528\u6237\u3002\u6211\u4eec\u63d0\u4f9b\u4e86\u4e00\u4e2a\u9884\u6d4b\u6a21\u578b\uff0c\u7528\u6237\u5728\u7cfb\u7edf\u751f\u547d\u5468\u671f\u4e2d\u5982\u4f55\u66f4\u6539\u4ed6\u4eec\u7684\u6d3b\u52a8\u7ec4\u3002\u6211\u4eec\u5728 Stack Exchange \u7684\u4e09\u4e2a\u4e0d\u540c\u7684\u95ee\u7b54\u7f51\u7ad9\u4e0a\uff0c\u9488\u5bf9\u4e24\u79cd\u7c7b\u578b\u7684\u6d3b\u52a8(\u7f16\u8f91\u548c\u6295\u7968) \uff0c\u7528\u6210\u5343\u4e0a\u4e07\u7684\u7528\u6237\u8fdb\u884c\u4e86\u5b9e\u8bc1\u7814\u7a76\u3002<\/span><\/section>\n


    <\/span><\/h2>\n
    \n
    \n
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    <\/p>\n

    \n
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    <\/p>\n

    Exo-SIR: <\/strong><\/span><\/p>\n

    \u5206\u6790\u5370\u5ea6\u65b0\u51a0\u80ba\u708e<\/strong><\/span><\/p>\n

    \u5916\u6e90\u611f\u67d3\u5f71\u54cd\u7684\u6d41\u884c\u75c5\u5b66\u6a21\u578b<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n

    Exo-SIR: An Epidemiological Model to Analyze the Impact of Exogenous Infection of COVID-19 in India<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    http:\/\/arxiv.org\/abs\/2008.06335<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Nirmal Kumar Sivaraman,Manas Gaur,Shivansh Baijal,Ch V Radha Sai Rupesh,Sakthi Balan Muthiah,Amit Sheth<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981<\/span><\/strong>\uff1a<\/span><\/strong>\u6d41\u884c\u75c5\u5b66\u6a21\u578b\u662f\u6355\u6349\u6d41\u884c\u75c5\u52a8\u6001\u7684\u6570\u5b66\u6a21\u578b\u3002\u75c5\u6bd2\u7684\u4f20\u64ad\u9014\u5f84\u6709\u5916\u6e90\u6027\u548c\u5185\u6e90\u6027\u4e24\u79cd\u3002\u5916\u6e90\u6027\u4f20\u64ad\u662f\u6765\u81ea\u88ab\u7814\u7a76\u7fa4\u4f53\u4e4b\u5916\uff0c\u5185\u6e90\u6027\u4f20\u64ad\u662f\u6765\u81ea\u88ab\u7814\u7a76\u7fa4\u4f53\u4e4b\u5185\u3002\u867d\u7136\u6709\u4e9b\u6a21\u578b\u8003\u8651\u4e86\u4f20\u67d3\u75c5\u7684\u5916\u6e90\u6027\uff0c\u4f46\u5b83\u4eec\u6ca1\u6709\u7814\u7a76\u5916\u6e90\u6027\u548c\u5185\u6e90\u6027\u4f20\u64ad\u4e4b\u95f4\u7684\u76f8\u4e92\u4f5c\u7528\u3002\u672c\u6587\u4ecb\u7ecd\u4e86\u4e00\u79cd\u65b0\u7684\u6a21\u578b\u2014\u2014 Exo-SIR \u6a21\u578b\uff0c\u8be5\u6a21\u578b\u540c\u65f6\u6355\u6349\u75c5\u6bd2\u7684\u5916\u6e90\u548c\u5185\u6e90\u4f20\u64ad\u3002\u901a\u8fc7\u5206\u6790\uff0c\u627e\u51fa\u79d1\u7ef4\u8fea19\u5927\u6d41\u884c\u671f\u95f4\u5185\u6e90\u6027\u548c\u5916\u6e90\u6027\u611f\u67d3\u4e4b\u95f4\u7684\u5173\u7cfb\u3002\u9996\u5148\uff0c\u6211\u4eec\u6a21\u62df Exo-SIR \u6a21\u578b\uff0c\u6ca1\u6709\u5047\u8bbe\u4efb\u4f55\u63a5\u89e6\u7f51\u7edc\u7684\u4eba\u53e3\u3002\u5176\u6b21\uff0c\u901a\u8fc7\u5047\u8bbe\u8054\u7cfb\u7f51\u7edc\u662f\u4e00\u4e2a\u65e0\u6807\u5ea6\u7f51\u7edc\u8fdb\u884c\u6a21\u62df\u3002\u7b2c\u4e09\uff0c\u6211\u4eec\u5728\u4e00\u4e2a\u771f\u5b9e\u7684 Covid19\u6570\u636e\u96c6\u4e0a\u5b9e\u73b0\u4e86 Exo-SIR \u6a21\u578b\u3002\u6211\u4eec\u53d1\u73b0\uff0c\u5185\u6e90\u6027\u611f\u67d3\u53d7\u5230\u5f71\u54cd\uff0c\u5373\u4f7f\u662f\u6700\u5c0f\u7684\u5916\u6e90\u6027\u611f\u67d3\u7387\u3002\u53e6\u5916\uff0c\u6211\u4eec\u53d1\u73b0\u5728\u5916\u6e90\u611f\u67d3\u5b58\u5728\u7684\u60c5\u51b5\u4e0b\uff0c\u5185\u6e90\u6027\u611f\u67d3\u5cf0\u503c\u8f83\u9ad8\uff0c\u5cf0\u503c\u51fa\u73b0\u7684\u65f6\u95f4\u8f83\u65e9\u3002\u8fd9\u610f\u5473\u7740\uff0c\u5982\u679c\u6211\u4eec\u8003\u8651\u6211\u4eec\u5bf9 Covid19\u8fd9\u6837\u7684\u5927\u6d41\u884c\u7684\u53cd\u5e94\uff0c\u6211\u4eec\u5e94\u8be5\u4e3a\u66f4\u65e9\u548c\u66f4\u9ad8\u6570\u91cf\u7684\u75c5\u4f8b\u505a\u597d\u51c6\u5907\uff0c\u800c\u4e0d\u662f SIR \u6a21\u578b\u6240\u5efa\u8bae\u7684\u5982\u679c\u5b58\u5728\u5916\u6e90\u6027\u611f\u67d3\u6e90\u7684\u8bdd\u3002<\/span><\/section>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u5229\u7528\u6d41\u52a8\u6027\u6570\u636e<\/strong><\/span><\/p>\n

    \u7ed8\u5236\u65b0\u51a0\u80ba\u708e\u66b4\u53d1\u7684\u98ce\u9669\u5730\u56fe<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n

    Risk mapping for COVID-19 outbreaks using mobility data<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    http:\/\/arxiv.org\/abs\/2008.06193<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Cameron Zachreson,Lewis Mitchell,Michael Lydeamore,Nicolas Rebuli,Martin Tomko,Nicholas Geard<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u65b0\u578b\u51a0\u72b6\u75c5\u6bd2\u80ba\u708e\u662f\u9ad8\u4f20\u67d3\u6027\u75be\u75c5\uff0c\u63a7\u5236\u75be\u75c5\u7206\u53d1\u9700\u8981\u8fc5\u901f\u6709\u6548\u7684\u5e94\u5bf9\u63aa\u65bd\u3002\u7531\u4e8e\u611f\u67d3\u53ef\u80fd\u7531\u51fa\u73b0\u75c7\u72b6\u524d\u6216\u65e0\u75c7\u72b6\u7684\u4eba\u4f20\u64ad\uff0c\u56e0\u6b64\u5728\u8bca\u65ad\u4e34\u5e8a\u75c5\u4f8b\u4e4b\u524d\u5f88\u53ef\u80fd\u53d1\u751f\u5927\u91cf\u672a\u88ab\u53d1\u73b0\u7684\u4f20\u64ad\u3002\u56e0\u6b64\uff0c\u5728\u7206\u53d1\u75ab\u60c5\u65f6\uff0c\u9700\u8981\u9884\u6d4b\u54ea\u4e9b\u4eba\u7fa4\u548c\u5730\u70b9\u6709\u66f4\u9ad8\u7684\u63a5\u89e6\u98ce\u9669\u3002\u5728\u8fd9\u9879\u5de5\u4f5c\u4e2d\uff0c\u6211\u4eec\u8bc4\u4f30\u7684\u6548\u7528\uff0c\u805a\u5408\u4eba\u7c7b\u6d41\u52a8\u6027\u6570\u636e\u4f30\u8ba1\u4f20\u64ad\u98ce\u9669\u7684\u5730\u7406\u5206\u5e03\u3002\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u7a0b\u5e8f\uff0c\u751f\u6210\u7a7a\u95f4\u4f20\u8f93\u98ce\u9669\u8bc4\u4f30\u4ece\u63a5\u8fd1\u5b9e\u65f6\u7684\u4eba\u53e3\u6d41\u52a8\u6570\u636e\u3002\u6211\u4eec\u6839\u636e\u6fb3\u5927\u5229\u4e9a3\u4e2a\u6709\u5145\u5206\u8bc1\u636e\u7684\u65b0\u578b\u51a0\u72b6\u75c5\u6bd2\u80ba\u708e\u66b4\u53d1\u60c5\u666f\u9a8c\u8bc1\u4e86\u6211\u4eec\u7684\u4f30\u8ba1\u3002\u5176\u4e2d\u4e24\u4e2a\u662f\u660e\u786e\u754c\u5b9a\u7684\u4f20\u64ad\u96c6\u7fa4\uff0c\u4e00\u4e2a\u662f\u793e\u533a\u4f20\u64ad\u60c5\u666f\u3002\u6211\u4eec\u7684\u7814\u7a76\u7ed3\u679c\u8868\u660e\uff0c\u6d41\u52a8\u6027\u6570\u636e\u53ef\u4ee5\u5f88\u597d\u5730\u9884\u6d4b\u6765\u81ea\u4f20\u64ad\u4e2d\u5fc3\u7684\u63a5\u89e6\u98ce\u9669\u7684\u5730\u7406\u6a21\u5f0f\uff0c\u7279\u522b\u662f\u5728\u6d89\u53ca\u5de5\u4f5c\u573a\u6240\u6216\u4e0e\u4e60\u60ef\u6027\u65c5\u884c\u6a21\u5f0f\u76f8\u5173\u7684\u5176\u4ed6\u73af\u5883\u7684\u60c5\u51b5\u4e0b\u3002\u5bf9\u4e8e\u793e\u533a\u4f20\u64ad\u573a\u666f\uff0c\u6211\u4eec\u7684\u7814\u7a76\u7ed3\u679c\u8868\u660e\uff0c\u5f53\u75c5\u4f8b\u8ba1\u6570\u4f4e\u4e14\u7a7a\u95f4\u96c6\u7fa4\u65f6\uff0c\u79fb\u52a8\u6570\u636e\u4e3a\u98ce\u9669\u9884\u6d4b\u589e\u52a0\u4e86\u6700\u5927\u7684\u4ef7\u503c\u3002\u6211\u4eec\u7684\u65b9\u6cd5\u53ef\u4ee5\u5e2e\u52a9\u536b\u751f\u7cfb\u7edf\u5206\u914d\u68c0\u6d4b\u8d44\u6e90\uff0c\u5e76\u53ef\u80fd\u6307\u5bfc\u5b9e\u65bd\u9488\u5bf9\u5730\u7406\u4f4d\u7f6e\u7684\u884c\u52a8\u548c\u793e\u4f1a\u4e92\u52a8\u9650\u5236\u3002<\/span><\/section>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u57fa\u4e8e\u5927\u89c4\u6a21\u65c5\u884c\u6570\u636e\u96c6\u7684<\/strong><\/span><\/p>\n

    \u7f51\u7ea6\u8f66\u65c5\u884c\u6df1\u5165\u5206\u6790<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n
    \u539f<\/span><\/strong>\u6587\u6807\u9898\uff1a<\/strong><\/span><\/section>\n

    An In-Depth Analysis of Ride-Hailing Travel Using a Large-scale Trip-Based Dataset<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    http:\/\/arxiv.org\/abs\/2008.06050<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Jianhe Du,Hesham A. Rakha,Helena Breuer<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u968f\u7740\u5feb\u901f\u589e\u957f\u7684\u6253\u8f66(RH)\u4f7f\u7528\uff0c\u9700\u8981\u66f4\u597d\u5730\u4e86\u89e3\u548c\u89c4\u8303\u884c\u4e1a\u51fa\u73b0\u3002\u672c\u6587\u5206\u6790\u4e86\u5927\u829d\u52a0\u54e5\u5730\u533a\u4e00\u5e74\u6765\u76f8\u5bf9\u6e7f\u5ea6\u65c5\u884c\u7684\u6570\u636e\uff0c\u4ee5\u7814\u7a76\u76f8\u5bf9\u6e7f\u5ea6\u65c5\u884c\u6a21\u5f0f\u3002\u5206\u6790\u4e86\u8d85\u8fc71.04\u4ebf\u4eba\u6b21\u7684\u65c5\u884c\u3002\u5c31\u884c\u7a0b\u8d39\u7387\u800c\u8a00\uff0c\u7ed3\u679c\u663e\u793a\u5168\u5e74\u7684\u603b\u884c\u7a0b\u6570\u76ee\u4fdd\u6301\u7a33\u5b9a\uff0c\u5408\u5e76\u884c\u7a0b\u7684\u6bd4\u7387\u7a33\u6b65\u4ece20% \u4e0b\u964d\u81f39% \u3002\u76f8\u5bf9\u4e8e\u5de5\u4f5c\u65e5\uff0c\u4eba\u4eec\u503e\u5411\u4e8e\u5728\u5468\u672b\u4f7f\u7528\u76f8\u5bf9\u6e7f\u5ea6\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u5468\u672b\u76f8\u5bf9\u6e7f\u5ea6\u51fa\u884c\u8ba1\u6570(\u6bcf\u5929)\u5e73\u5747\u6bd4\u5de5\u4f5c\u65e5\u51fa\u884c\u8ba1\u6570\u9ad8\u51fa20% \u3002\u8fd9\u9879\u5de5\u4f5c\u7684\u7ed3\u679c\u5c06\u6709\u52a9\u4e8e\u51b3\u7b56\u8005\u548c\u8fd0\u8f93\u7ba1\u7406\u4eba\u5458\u66f4\u597d\u5730\u4e86\u89e3\u751f\u6b96\u5065\u5eb7\u65c5\u884c\u7684\u6027\u8d28\uff0c\u4ece\u800c\u53ef\u4ee5\u4e3a\u6253\u8f66\u884c\u4e1a\u8bbe\u8ba1\u4e00\u4e2a\u66f4\u597d\u7684\u89c4\u7ae0\u548c\u6307\u5bfc\u7cfb\u7edf\u3002<\/span><\/section>\n


    <\/span><\/h2>\n
    \n
    \n
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    <\/p>\n

    \n
    \n
    <\/p>\n

    \u4f20\u64ad\u7f51\u7edc\u7684\u7a7a\u95f4\u968f\u673a SIR \u6a21\u578b<\/strong><\/span><\/p>\n

    \u53ca\u5176\u5728\u4e2d\u56fd\u65b0\u51a0\u80ba\u708e\u6d41\u884c\u75c5\u4e2d\u7684\u5e94\u7528<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n

    A Spatial Stochastic SIR Model for Transmission Networks with Application to COVID-19 Epidemic in China<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    http:\/\/arxiv.org\/abs\/2008.06051<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Tatsushi Oka,Wei Wei,Dan Zhu<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u4e16\u754c\u5404\u5730\u7684\u653f\u5e9c\u5df2\u7ecf\u5b9e\u65bd\u4e86\u9884\u9632\u63aa\u65bd\uff0c\u4ee5\u9632\u6b62\u51a0\u72b6\u75c5\u6bd2\u75c5\u7684\u4f20\u64ad\u3002\u65b0\u578b\u51a0\u72b6\u75c5\u6bd2\u80ba\u708e\u3002\u5728\u8fd9\u9879\u7814\u7a76\u4e2d\uff0c\u6211\u4eec\u8003\u8651\u4e00\u4e2a\u591a\u53d8\u91cf\u79bb\u6563\u65f6\u95f4 Markov \u6a21\u578b\u6765\u5206\u6790\u65b0\u578b\u51a0\u72b6\u75c5\u6bd2\u80ba\u708e\u5728\u4e2d\u56fd33\u4e2a\u7701\u533a\u7684\u4f20\u64ad\u3002\u8fd9\u79cd\u65b9\u6cd5\u4f7f\u6211\u4eec\u80fd\u591f\u8bc4\u4f30\u6d41\u52a8\u6027\u9650\u5236\u653f\u7b56\u5bf9\u75be\u75c5\u4f20\u64ad\u7684\u5f71\u54cd\u3002\u6211\u4eec\u4f7f\u7528\u4eba\u7c7b\u6bcf\u65e5\u8de8\u533a\u57df\u6d41\u52a8\u7684\u6570\u636e\uff0c\u5e76\u5e94\u7528\u8d1d\u53f6\u65af\u6846\u67b6\u6765\u4f30\u8ba1\u6240\u63d0\u51fa\u7684\u6a21\u578b\u3002\u7ed3\u679c\u8868\u660e\uff0c\u8be5\u75c5\u5728\u4e2d\u56fd\u7684\u4f20\u64ad\u4e3b\u8981\u662f\u7531\u5730\u533a\u5185\u7684\u793e\u533a\u4f20\u64ad\u548c\u5730\u65b9\u653f\u5e9c\u91c7\u53d6\u7684\u5c01\u9501\u653f\u7b56\u6291\u5236\u4e86\u8be5\u6d41\u884c\u75c5\u7684\u4f20\u64ad\u3002\u8fdb\u4e00\u6b65\uff0c\u6211\u4eec\u8bc1\u660e\u6e56\u5317\u53ea\u662f\u65e9\u671f\u75ab\u60c5\u7684\u4e2d\u5fc3\u30022020\u5e741\u6708\u4e0b\u65ec\uff0c\u5317\u4eac\u3001\u5e7f\u4e1c\u7b49\u6b21\u7ea7\u9707\u4e2d\u5df2\u7ecf\u5efa\u7acb\uff0c\u75be\u75c5\u8513\u5ef6\u81f3\u76f8\u5173\u5730\u533a\u3002\u5728\u5b9e\u884c\u8de8\u533a\u57df\u4eba\u5458\u6d41\u52a8\u9650\u5236\u540e\uff0c\u8fd9\u4e9b\u9707\u4e2d\u7684\u4f20\u64ad\u663e\u8457\u4e0b\u964d\u3002<\/span><\/section>\n


    <\/span><\/h2>\n
    \n
    \n
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    <\/p>\n

    \n
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    <\/p>\n

    \u65b0\u51a0\u80ba\u708e\u5728\u4eba\u7fa4\u4e2d<\/strong><\/span><\/p>\n

    \u4f20\u64ad\u52a8\u6001\u7684\u7ecf\u9a8c\u6a21\u578b<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n

    An empirical model on the dynamics of Covid-19 spread in human population<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    http:\/\/arxiv.org\/abs\/2008.06346<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Nilmani Mathur,Gargi Shaw<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u6570\u5b66\u6a21\u578b\u6765\u5206\u6790\u5728\u6b63\u5728\u8fdb\u884c\u7684\u5927\u6d41\u884c\u4e2d\u4e00\u4e2a\u5730\u533a\u611f\u67d3\u65b0\u578b\u51a0\u72b6\u75c5\u6bd2\u80ba\u708e\u7684\u603b\u4eba\u6570\u7684\u65f6\u95f4\u6f14\u53d8\u3002\u5229\u7528\u4e0d\u540c\u56fd\u5bb6\u65b0\u578b\u51a0\u72b6\u75c5\u6bd2\u80ba\u708e\u611f\u67d3\u4eba\u7fa4\u7684\u53ef\u7528\u6570\u636e\uff0c\u6211\u4eec\u5efa\u7acb\u4e86\u4e00\u4e2a\u6a21\u578b\uff0c\u8be5\u6a21\u578b\u53ef\u4ee5\u6210\u529f\u5730\u8ddf\u8e2a\u5728\u7ed9\u5b9a\u7684\u4e00\u6ce2\u4f20\u67d3\u75c5\u4e2d\u4ece\u65e9\u671f\u5230\u9971\u548c\u671f\u7684\u65f6\u95f4\u6f14\u53d8\u3002\u5b83\u6d89\u53ca\u4e00\u7ec4\u6709\u6548\u7684\u53c2\u6570\uff0c\u53ef\u4ee5\u4ece\u53ef\u7528\u7684\u6570\u636e\u4e2d\u63d0\u53d6\u51fa\u6765\u3002\u5229\u7528\u8fd9\u4e9b\u53c2\u6570\u8fd8\u53ef\u4ee5\u9884\u6d4b\u672a\u6765\u75be\u75c5\u4f20\u64ad\u7684\u8f68\u8ff9\u3002\u672c\u6587\u8fd8\u63d0\u51fa\u4e86\u4e00\u7ec4\u5fae\u5206\u65b9\u7a0b\uff0c\u5176\u89e3\u5c31\u662f\u8fd9\u4e9b\u65f6\u95f4\u6f14\u5316\u8f68\u8ff9\u3002\u5229\u7528\u8fd9\u6837\u7684\u5f62\u5f0f\u4e3b\u4e49\uff0c\u6211\u4eec\u9884\u6d4b\u4e86\u672a\u6765\u611f\u67d3\u6269\u6563\u7684\u8fdb\u5316\u8f68\u8ff9\uff0c\u8fd9\u4e9b\u56fd\u5bb6\u7684\u65b0\u578b\u51a0\u72b6\u75c5\u6bd2\u80ba\u708e\u611f\u67d3\u4ecd\u5728\u8fc5\u901f\u4e0a\u5347\u3002<\/span><\/section>\n


    <\/span><\/h2>\n
    \n
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    <\/p>\n

    \n
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    <\/p>\n

    DINE\uff1a\u4e00\u79cd\u6df1\u5ea6\u4e0d\u5b8c\u5168\u7f51\u7edc\u5d4c\u5165\u6846\u67b6<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n

    DINE: A Framework for Deep Incomplete Network Embedding<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    http:\/\/arxiv.org\/abs\/2008.06311<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong>
    <\/span><\/section>\n
    Ke Hou,Jiaying Liu,Yin Peng,Bo Xu,Ivan Lee,Feng Xia<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u7f51\u7edc\u8868\u793a\u5b66\u4e60(NRL)\u5728\u8282\u70b9\u5206\u7c7b\u548c\u94fe\u8def\u9884\u6d4b\u7b49\u591a\u79cd\u4efb\u52a1\u4e2d\u53d1\u6325\u7740\u91cd\u8981\u4f5c\u7528\u3002\u5b83\u7684\u76ee\u7684\u662f\u5b66\u4e60\u57fa\u4e8e\u7f51\u7edc\u7ed3\u6784\u6216\u8282\u70b9\u5c5e\u6027\u7684\u4f4e\u7ef4\u5411\u91cf\u8868\u793a\u3002\u867d\u7136\u5d4c\u5165\u6280\u672f\u5728\u5b8c\u6574\u7f51\u7edc\u4e0a\u7684\u5e94\u7528\u5df2\u7ecf\u5f97\u5230\u4e86\u5e7f\u6cdb\u7684\u7814\u7a76\uff0c\u4f46\u662f\u5728\u73b0\u5b9e\u5e94\u7528\u4e2d\uff0c\u6536\u96c6\u5b8c\u6574\u7f51\u7edc\u4ecd\u7136\u662f\u4e00\u4e2a\u5177\u6709\u6311\u6218\u6027\u7684\u4efb\u52a1\u3002\u4e3a\u4e86\u5f25\u8865\u8fd9\u4e00\u7f3a\u9677\uff0c\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u6df1\u5ea6\u4e0d\u5b8c\u5168\u7f51\u7edc\u5d4c\u5165\u65b9\u6cd5\u2014\u2014 DINE\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528\u671f\u671b\u6700\u5927\u5316\u6846\u67b6\u6765\u5b8c\u6210\u4e00\u4e2a\u90e8\u5206\u53ef\u89c2\u6d4b\u7f51\u7edc\u4e2d\u7684\u7f3a\u5931\u90e8\u5206\uff0c\u5305\u62ec\u8282\u70b9\u548c\u8fb9\u3002\u4e3a\u4e86\u63d0\u9ad8\u5d4c\u5165\u6027\u80fd\uff0c\u6211\u4eec\u8003\u8651\u4e86\u7f51\u7edc\u7ed3\u6784\u548c\u8282\u70b9\u5c5e\u6027\u6765\u5b66\u4e60\u8282\u70b9\u8868\u793a\u3002\u5728\u5b9e\u8bc1\u7814\u7a76\u4e2d\uff0c\u6211\u4eec\u5bf9\u4e09\u4e2a\u7f51\u7edc\u4e0a\u7684 DINE \u8fdb\u884c\u4e86\u591a\u6807\u7b7e\u5206\u7c7b\u548c\u94fe\u63a5\u9884\u6d4b\u4efb\u52a1\u7684\u8bc4\u4f30\u3002\u7ed3\u679c\u8868\u660e\uff0c\u6211\u4eec\u63d0\u51fa\u7684\u65b9\u6cd5\u4f18\u4e8e\u56fd\u5bb6\u7684\u6700\u5148\u8fdb\u7684\u57fa\u7ebf\u3002<\/span><\/section>\n

    <\/span><\/section>\n

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    \u6765\u6e90\uff1a\u96c6\u667a\u6591\u56fe<\/section>\n
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    \u590d\u6742\u7cfb\u7edf\u524d\u6cbf\u6587\u732e\u4ea4\u6d41\u7fa4<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n


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    \u5982\u679c\u4f60\u7ecf\u5e38\u5173\u6ce8\u590d\u6742\u7cfb\u7edf\u548c\u8de8\u5b66\u79d1\u7814\u7a76\u8fdb\u5c55\uff0c\u662f\u7f51\u7edc\u8bba\u6587\u901f\u9012\u680f\u76ee\u7684\u957f\u671f\u8bfb\u8005\uff0c<\/span>\u6b22\u8fce\u626b\u63cf\u96c6\u667a\u5c0f\u52a9\u624b\uff0c\u5411\u6211\u4eec\u53cd\u9988\u4f60\u7684\u9700\u6c42<\/strong>\u3002\u6b22\u8fce\u63d0\u51fa\u5b9d\u8d35\u610f\u89c1\uff0c\u6211\u4eec\u4e00\u8d77\u6765\u63a2\u7d22\u8ffd\u8e2a\u524d\u6cbf\u8fdb\u5c55\u7684\u66f4\u597d\u65b9\u5f0f\u3002<\/span><\/p>\n


    <\/p>\n

    \u53c2\u4e0e\u8bba\u6587\u901f\u9012\u7528\u6237\u8c03\u7814\u540e\uff0c\u6211\u4eec\u5c06\u9080\u8bf7\u4f60\u52a0\u5165\u96c6\u667a\u7684\u79d1\u7814\u6587\u732e\u4ea4\u6d41\u7fa4<\/strong>\u3002<\/span><\/p>\n


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    \u8fd1\u671f\u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u9012<\/strong><\/span><\/strong><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


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    <\/strong><\/p>\n

    \u5bf9\u6bd4\u7f51\u7edc\u5206\u6790\u7684\u53ef\u89c6\u5316\u6846\u67b6 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901228\u7bc7<\/strong><\/a>
    <\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    \u4ece\u5e42\u5f8b\u5230\u6781\u503c\u6df7\u5408\u5206\u5e03 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901218\u7bc7<\/strong><\/a>
    <\/p>\n

    \u5206\u6790\u7f51\u7edc\u7684\u7f51\u7edc | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901222\u7bc7<\/span><\/strong><\/a>
    <\/p>\n

    \u65b0\u51a0\u75ab\u60c5\u671f\u95f4\u65b0\u6d6a\u5fae\u535a\u4e0a\u7684\u6ce8\u610f\u529b\u52a8\u529b\u5b66 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901217\u7bc7<\/span><\/strong><\/a>
    <\/p>\n

    \u57fa\u4e8e\u73af\u5883\u566a\u58f0\u7684\u7f51\u7edc\u91cd\u6784 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901218\u7bc7<\/strong><\/a>
    <\/p>\n

    \u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/span><\/a><\/section>\n


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    \u96c6\u667a\u4ff1\u4e50\u90e8QQ\u7fa4\uff5c877391004<\/span><\/strong><\/p>\n

    \u5546\u52a1\u5408\u4f5c\u53ca\u6295\u7a3f\u8f6c\u8f7d\uff5cswarma@swarma.org
    <\/span><\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h2>\n

    \u25c6 <\/span>\u25c6 <\/span>\u25c6<\/span><\/span><\/strong><\/strong><\/h1>\n

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    \u641c\u7d22\u516c\u4f17\u53f7\uff1a\u96c6\u667a\u4ff1\u4e50\u90e8<\/span><\/strong><\/span><\/p>\n


    <\/p>\n

    \u52a0\u5165\u201c\u6ca1\u6709\u56f4\u5899\u7684\u7814\u7a76\u6240\u201d<\/span><\/strong><\/span><\/p>\n

    \n

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    \u8ba9\u82f9\u679c\u7838\u5f97\u66f4\u731b\u70c8\u4e9b\u5427\uff01<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/p>\n

    \ud83d\udc47\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u4e86\u89e3\u66f4\u591a\u6700\u65b0arxiv\u8bba\u6587<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h2><\/div>\n","protected":false},"excerpt":{"rendered":"

    \u96c6\u667a\u6591\u56fe\u6700\u65b0\u8bba\u6587\u680f\u76ee\uff0c\u5173\u6ce8\u590d\u6742\u7cfb\u7edf\u3001\u7f51\u7edc\u79d1\u5b66\u3001\u8ba1\u7b97\u793e\u4f1a\u79d1\u5b66\u3001\u7edf\u8ba1\u7269\u7406\u7b49\u9886\u57df\u7684\u524d\u6cbf\u8fdb\u5c55\uff0c\u6bcf\u5929\u5373\u65f6\u66f4\u65b0\u76f8\u5173\u9876\u520a\u8bba\u6587\uff0c\u548c\u6700\u65b0arXiv\u9884\u5370\u672c\u8bba\u6587\u3002 \u672c\u6587\u662f\u5bf9\u8fd1\u671farXiv\u8bba\u6587\u7684\u6c47\u603b\u7f16\u8bd1\uff08by \u5f69\u4e91\u5c0f\u8bd1\uff09\u3002\u66f4\u591a\u6700\u65b0\u8bba\u6587\uff0c\u8bf7\u626b\u4e8c\u7ef4\u7801\u83b7\u53d6\u3002 \u6838\u5fc3\u901f\u9012 \u4ee5\u8c8c\u53d6\u4eba: \u9762\u90e8\u77e5\u89c9\u5bf9\u793e\u4ea4\u7f51\u7edc\u4e2d\u5fc3\u6027\u7684\u5f71\u54cd\uff1b \u4e0d\u5b8c\u5168\u4fe1\u606f\u4e0b\u591a…<\/p>\n","protected":false},"author":1,"featured_media":20752,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/20753"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=20753"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/20753\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/20752"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=20753"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=20753"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=20753"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=20753"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}