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