关于学习理论通用算法的说明

Q4 Mathematics

Applicationes Mathematicae Pub Date : 2018-11-23 DOI:10.4064/am34-1-5

K. Dziedziul, B. Wolnik

{"title":"关于学习理论通用算法的说明","authors":"K. Dziedziul, B. Wolnik","doi":"10.4064/am34-1-5","DOIUrl":null,"url":null,"abstract":"We propose the general way of study the universal estimator for the regression problem in learning theory considered in \"Universal algorithms for learning theory Part I: piecewise constant functions\" and \"Universal algorithms for learning theory Part II: piecewise constant functions\" written by Binev, P., Cohen, A., Dahmen, W., DeVore, R., Temlyakov, V. This new approch allows us to improve results.","PeriodicalId":52313,"journal":{"name":"Applicationes Mathematicae","volume":"54 1","pages":"47-52"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Note on universal algorithms for learning theory\",\"authors\":\"K. Dziedziul, B. Wolnik\",\"doi\":\"10.4064/am34-1-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose the general way of study the universal estimator for the regression problem in learning theory considered in \\\"Universal algorithms for learning theory Part I: piecewise constant functions\\\" and \\\"Universal algorithms for learning theory Part II: piecewise constant functions\\\" written by Binev, P., Cohen, A., Dahmen, W., DeVore, R., Temlyakov, V. This new approch allows us to improve results.\",\"PeriodicalId\":52313,\"journal\":{\"name\":\"Applicationes Mathematicae\",\"volume\":\"54 1\",\"pages\":\"47-52\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applicationes Mathematicae\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4064/am34-1-5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applicationes Mathematicae","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4064/am34-1-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}

引用次数: 0

摘要

我们提出了研究学习理论中回归问题的通用估计量的一般方法，在“学习理论的通用算法第一部分:分段常数函数”和“学习理论的通用算法第二部分:分段常数函数”中被认为是由Binev, P.， Cohen, A.， Dahmen, W.， DeVore, R.， Temlyakov, V.写的。这种新方法使我们能够改进结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Note on universal algorithms for learning theory

We propose the general way of study the universal estimator for the regression problem in learning theory considered in "Universal algorithms for learning theory Part I: piecewise constant functions" and "Universal algorithms for learning theory Part II: piecewise constant functions" written by Binev, P., Cohen, A., Dahmen, W., DeVore, R., Temlyakov, V. This new approch allows us to improve results.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Applicationes Mathematicae Mathematics-Applied Mathematics

CiteScore

0.30

自引率

0.00%

发文量