Optimizing support vector machine parameters using cuckoo search algorithm via cross validation

• المؤلفون الرئيسيون: Akkawat Puntura, Nipon Theera-Umpon, Sansanee Auephanwiriyakul
• التنسيق: وقائع المؤتمر
• منشور في: 2018
• الموضوعات: Computer Science; Engineering; Mathematics
• الوصول للمادة أونلاين: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85018951618&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/57090

© 2016 IEEE. Support vector machine is one of the most popular techniques for solving classification problems. It is known that the choice of parameters directly affects its performance. This problem can be solved using a search algorithm which is suitable optimization technique for the parameter op...