Expediting Model Selection for Support Vector Machines Based on Data Reduction

國立臺灣大學資訊工程學系Ou, Yu-YenYu-YenOuChen, Chien-YuChien-YuChenHwang, Shien-ChingShien-ChingHwangOyang, Yen-JenYen-JenOyang2006-09-272018-07-052006-09-272018-07-052003-07http://ntur.lib.ntu.edu.tw//handle/246246/20060927122858382872http://ntur.lib.ntu.edu.tw/bitstream/246246/20060927122858382872/1/smc03_yien.pdfIn recent years, Support Vector Machines (SVM) have been extensively applied to deal with various data classification problems. However, in some cases, the application of SVM is limited due to the time taken to conduct model selection for SVM.application/pdf217870 bytesapplication/pdfzh-TWSupport Vector MachinesData ClassificationModel SelectionExpediting Model Selection for Support Vector Machines Based on Data Reductionreporthttp://ntur.lib.ntu.edu.tw/bitstream/246246/20060927122858382872/1/smc03_yien.pdf