{"title":"改进的支持向量数据描述","authors":"Guang-Xin Huang, Huafu Chen, F. Yin","doi":"10.1109/ICMLC.2010.5580837","DOIUrl":null,"url":null,"abstract":"Support vector data description is a data description method which can give the target data set a spherically shaped description. However, when the target data set contains two classes of objects, this data description method can treat the target data set as a whole and give only one description for the training data set. This paper presents an improved support vector data description, which could give each class of target objects in the target data set a hyper-spherically shaped boundary, if the target data set contains two classes of objects.","PeriodicalId":126080,"journal":{"name":"2010 International Conference on Machine Learning and Cybernetics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Improved support vector data description\",\"authors\":\"Guang-Xin Huang, Huafu Chen, F. Yin\",\"doi\":\"10.1109/ICMLC.2010.5580837\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Support vector data description is a data description method which can give the target data set a spherically shaped description. However, when the target data set contains two classes of objects, this data description method can treat the target data set as a whole and give only one description for the training data set. This paper presents an improved support vector data description, which could give each class of target objects in the target data set a hyper-spherically shaped boundary, if the target data set contains two classes of objects.\",\"PeriodicalId\":126080,\"journal\":{\"name\":\"2010 International Conference on Machine Learning and Cybernetics\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Machine Learning and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC.2010.5580837\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2010.5580837","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Support vector data description is a data description method which can give the target data set a spherically shaped description. However, when the target data set contains two classes of objects, this data description method can treat the target data set as a whole and give only one description for the training data set. This paper presents an improved support vector data description, which could give each class of target objects in the target data set a hyper-spherically shaped boundary, if the target data set contains two classes of objects.
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