DocumentCode :
539332
Title :
An incremental learning algorithm for SVM based on voting principle
Author :
Hai, Yang ; He, Wei ; Fan, Lei
Author_Institution :
Coll. of Sci., Minzu Univ. of China, Beijing, China
fYear :
2010
fDate :
Nov. 30 2010-Dec. 2 2010
Firstpage :
420
Lastpage :
423
Abstract :
In this paper, we mainly adopt the voting combination method to implement the incremental learning for SVM. The incremental learning algorithm proposed by this paper has contained two parts in order to tackle different types of incremental learning cases, the first part is to deal with the on-line incremental learning and the second part is to deal with the batch incremental learning. In the final, we make the experiment to verify the validity and efficiency of such algorithm.
Keywords :
learning (artificial intelligence); support vector machines; SVM; incremental learning algorithm; voting combination method; voting principle; SVM; Voting; batch incremental learning; on-line incremental learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Information Management and Service (IMS), 2010 6th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-8599-4
Electronic_ISBN :
978-89-88678-32-9
Type :
conf
Filename :
5713486
Link To Document :
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