{"title":"模型的军备竞赛:复杂化或死亡","authors":"J. Whitmore","doi":"10.2139/ssrn.3867464","DOIUrl":null,"url":null,"abstract":"As a graduate student at the Center for Adaptive Behavior and Cognition (ABC), I learned that simple models can beat more complex models, particularly in out-of-sample accuracy. This finding has been validated in my career since then. But I did observe some situations where complex models were useful. And even more surprisingly, I noticed some situations where complex models were truly necessary. The model was driven to complexity by an arms race. I will illustrate such an arms race with a series of diagrams showing how a classifier can be driven to complexity, focusing on the case of spam.<br><br>Talk at “Decision Making Under Radical Uncertainty”, June 11-12, 2021. Berlin, Germany (digital)<br>Talk recording: https://vimeo.com/568707053","PeriodicalId":346559,"journal":{"name":"Innovation Measurement & Indicators eJournal","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Arms Race of Models: Complexify or Die\",\"authors\":\"J. Whitmore\",\"doi\":\"10.2139/ssrn.3867464\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As a graduate student at the Center for Adaptive Behavior and Cognition (ABC), I learned that simple models can beat more complex models, particularly in out-of-sample accuracy. This finding has been validated in my career since then. But I did observe some situations where complex models were useful. And even more surprisingly, I noticed some situations where complex models were truly necessary. The model was driven to complexity by an arms race. I will illustrate such an arms race with a series of diagrams showing how a classifier can be driven to complexity, focusing on the case of spam.<br><br>Talk at “Decision Making Under Radical Uncertainty”, June 11-12, 2021. Berlin, Germany (digital)<br>Talk recording: https://vimeo.com/568707053\",\"PeriodicalId\":346559,\"journal\":{\"name\":\"Innovation Measurement & Indicators eJournal\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Innovation Measurement & Indicators eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3867464\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Innovation Measurement & Indicators eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3867464","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
As a graduate student at the Center for Adaptive Behavior and Cognition (ABC), I learned that simple models can beat more complex models, particularly in out-of-sample accuracy. This finding has been validated in my career since then. But I did observe some situations where complex models were useful. And even more surprisingly, I noticed some situations where complex models were truly necessary. The model was driven to complexity by an arms race. I will illustrate such an arms race with a series of diagrams showing how a classifier can be driven to complexity, focusing on the case of spam.
Talk at “Decision Making Under Radical Uncertainty”, June 11-12, 2021. Berlin, Germany (digital) Talk recording: https://vimeo.com/568707053
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
