{"title":"Research on Dynamic Integration Algorithm Based on Local Learning Strategy","authors":"Yin Junping, Wan Yuan","doi":"10.1109/GCIS.2012.78","DOIUrl":null,"url":null,"abstract":"Taking local learning strategy as the local member classifier generating means, local performance estimation of classifier as in-depth analysis method of classifier, this paper, systematically investigates dynamic integration method based on local learning strategy and local performance estimation, on the basis of improving the integrated classifier accuracy with efficiency consideration in order to obtain superior performance of the dynamic integration classification algorithm.","PeriodicalId":337629,"journal":{"name":"2012 Third Global Congress on Intelligent Systems","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third Global Congress on Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCIS.2012.78","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Taking local learning strategy as the local member classifier generating means, local performance estimation of classifier as in-depth analysis method of classifier, this paper, systematically investigates dynamic integration method based on local learning strategy and local performance estimation, on the basis of improving the integrated classifier accuracy with efficiency consideration in order to obtain superior performance of the dynamic integration classification algorithm.