{"title":"The Penalized Regression and Penalized Logistic Regression of Lasso and Elastic Net Methods for High- Dimensional Data: A Modelling Approach","authors":"Autcha Araveeporn","doi":"10.9734/bpi/ist/v3/1695b","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":102016,"journal":{"name":"Innovations in Science and Technology Vol. 3","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Innovations in Science and Technology Vol. 3","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9734/bpi/ist/v3/1695b","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
