{"title":"设计大规模分类器","authors":"W. Porter, W. Liu","doi":"10.1109/SSST.1996.493489","DOIUrl":null,"url":null,"abstract":"In this study we present a design for hierarchical modular classifiers. The design features an algorithm which selects a set of exemplars. Using these exemplars the classification problem is decomposed into a family of disjoint subproblems. A classification module is trained for each subproblem. The collection of classification modules and a rule book for their use then comprise the resultant design.","PeriodicalId":135973,"journal":{"name":"Proceedings of 28th Southeastern Symposium on System Theory","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Designing large scale classifiers\",\"authors\":\"W. Porter, W. Liu\",\"doi\":\"10.1109/SSST.1996.493489\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study we present a design for hierarchical modular classifiers. The design features an algorithm which selects a set of exemplars. Using these exemplars the classification problem is decomposed into a family of disjoint subproblems. A classification module is trained for each subproblem. The collection of classification modules and a rule book for their use then comprise the resultant design.\",\"PeriodicalId\":135973,\"journal\":{\"name\":\"Proceedings of 28th Southeastern Symposium on System Theory\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 28th Southeastern Symposium on System Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSST.1996.493489\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 28th Southeastern Symposium on System Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSST.1996.493489","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this study we present a design for hierarchical modular classifiers. The design features an algorithm which selects a set of exemplars. Using these exemplars the classification problem is decomposed into a family of disjoint subproblems. A classification module is trained for each subproblem. The collection of classification modules and a rule book for their use then comprise the resultant design.
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