{"title":"数据编码","authors":"T. Jo","doi":"10.1007/978-3-030-65900-4_3","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":47667,"journal":{"name":"Foundations and Trends in Machine Learning","volume":"1 1","pages":""},"PeriodicalIF":65.3000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Data Encoding\",\"authors\":\"T. Jo\",\"doi\":\"10.1007/978-3-030-65900-4_3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":47667,\"journal\":{\"name\":\"Foundations and Trends in Machine Learning\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":65.3000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Foundations and Trends in Machine Learning\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/978-3-030-65900-4_3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Foundations and Trends in Machine Learning","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-030-65900-4_3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
期刊介绍:
Each issue of Foundations and Trends® in Machine Learning comprises a monograph of at least 50 pages written by research leaders in the field. We aim to publish monographs that provide an in-depth, self-contained treatment of topics where there have been significant new developments. Typically, this means that the monographs we publish will contain a significant level of mathematical detail (to describe the central methods and/or theory for the topic at hand), and will not eschew these details by simply pointing to existing references. Literature surveys and original research papers do not fall within these aims.