Chen, Y.-W.Y.-W.ChenCHIH-JEN LIN2018-09-102018-09-10200614349922http://www.scopus.com/inward/record.url?eid=2-s2.0-34047138318&partnerID=MN8TOARShttp://scholars.lib.ntu.edu.tw/handle/123456789/323557https://www.scopus.com/inward/record.uri?eid=2-s2.0-34047138318&doi=10.1007%2f978-3-540-35488-8_13&partnerID=40&md5=0b221933e7d39081fd95036594515508This article investigates the performance of combining support vector machines (SVM) and various feature selection strategies. Some of them are filter-type approaches: general feature selection methods independent of SVM, and some are wrapper-type methods: modifications of SVM which can be used to select features. We apply these strategies while participating to the NIPS 2003 Feature Selection Challenge and rank third as a group. © Springer-Verlag Berlin Heidelberg 2006.journal article10.1007/978-3-540-35488-8_132-s2.0-34047138318