{"title":"不可学习的棋盘模式","authors":"Eric M. Holloway","doi":"10.33014/ISSN.2640-5652.1.2.HOLLOWAY.1","DOIUrl":null,"url":null,"abstract":"Detecting some patterns is a simple task for humans, but nearly impossible for current machine learning algorithms. Here, the \"checkerboard\" pattern is examined, where human prediction nears 100% and machine prediction drops significantly below 50%.","PeriodicalId":114457,"journal":{"name":"Communications of the Blyth Institute","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Unlearnable Checkerboard Pattern\",\"authors\":\"Eric M. Holloway\",\"doi\":\"10.33014/ISSN.2640-5652.1.2.HOLLOWAY.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Detecting some patterns is a simple task for humans, but nearly impossible for current machine learning algorithms. Here, the \\\"checkerboard\\\" pattern is examined, where human prediction nears 100% and machine prediction drops significantly below 50%.\",\"PeriodicalId\":114457,\"journal\":{\"name\":\"Communications of the Blyth Institute\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications of the Blyth Institute\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33014/ISSN.2640-5652.1.2.HOLLOWAY.1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications of the Blyth Institute","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33014/ISSN.2640-5652.1.2.HOLLOWAY.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detecting some patterns is a simple task for humans, but nearly impossible for current machine learning algorithms. Here, the "checkerboard" pattern is examined, where human prediction nears 100% and machine prediction drops significantly below 50%.
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