教師資料查詢 | 類別: 期刊論文 | 教師: 蔡憶佳 ISAAC YIHJIA TSAI (瀏覽個人網頁)

標題:Simplification of Support Vector Solutions Using Artificial Bee Colony Algorithm
學年
學期
出版(發表)日期2012/12/01
作品名稱Simplification of Support Vector Solutions Using Artificial Bee Colony Algorithm
作品名稱(其他語言)
著者Tsai, Yih-Jia; Yeh, Jih-Pin
單位淡江大學資訊工程學系
出版者Singapore: World Scientific Publishing Co. Pte. Ltd.
著錄名稱、卷期、頁數International Journal of Pattern Recognition and Artificial Intelligence 26(8), 1250020(14pages)
摘要Support vector machines (SVMs) are a relatively recent machine learning technique. One of the SVM problems is that SVM is considerably slower in test phase caused by the large number of support vectors, which limits its practical use. To address this problem, we propose an artificial bee colony (ABC) algorithm to search for an optimal subset of the set of support vectors obtained through the training of the SVM, such that the original discriminant function is best approximated. Experimental results show that the proposed ABC algorithm outperforms some other compared methods in terms of the classification accuracy when the solution is reduced to the same size.
關鍵字Artificial bee colony (ABC) algorithm;discriminant function;support vector machine (SVM);swarm intelligence (SI)
語言英文
ISSN0218-0014
期刊性質國外
收錄於SCI;EI
產學合作
通訊作者
審稿制度
國別新加坡
公開徵稿
出版型式紙本
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