{"title":"高维信息扩散及其应用","authors":"Hanji Shang, Yuchu Lu, Ping Jin","doi":"10.1109/NAFIPS.2003.1226786","DOIUrl":null,"url":null,"abstract":"This paper presents an application of the information diffusion method to the small sample problems, which appeared in the investigation of coronary heart disease. The information diffusion method is applied to a higher dimensional case and a limited departure criterion is introduced to improve the optimization model for the selection of diffusion function.","PeriodicalId":153530,"journal":{"name":"22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Higher dimensional information diffusion and its application\",\"authors\":\"Hanji Shang, Yuchu Lu, Ping Jin\",\"doi\":\"10.1109/NAFIPS.2003.1226786\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an application of the information diffusion method to the small sample problems, which appeared in the investigation of coronary heart disease. The information diffusion method is applied to a higher dimensional case and a limited departure criterion is introduced to improve the optimization model for the selection of diffusion function.\",\"PeriodicalId\":153530,\"journal\":{\"name\":\"22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAFIPS.2003.1226786\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAFIPS.2003.1226786","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Higher dimensional information diffusion and its application
This paper presents an application of the information diffusion method to the small sample problems, which appeared in the investigation of coronary heart disease. The information diffusion method is applied to a higher dimensional case and a limited departure criterion is introduced to improve the optimization model for the selection of diffusion function.
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