{"title":"Variational Autoencoder-Based Dimensionality Reduction for High-Dimensional Small-Sample Data Classification","authors":"M.S. Mahmud, J. Huang, Xianghua Fu","doi":"10.1142/s1469026820500029","DOIUrl":null,"url":null,"abstract":"Classification problems in which the number of features (dimensions) is unduly higher than the number of samples (observations) is an essential research and application area in a variety of domains...","PeriodicalId":422521,"journal":{"name":"Int. J. Comput. Intell. Appl.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Comput. Intell. Appl.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s1469026820500029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
Classification problems in which the number of features (dimensions) is unduly higher than the number of samples (observations) is an essential research and application area in a variety of domains...
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