An Improved Progressive Transductive Algorithm Based on One Class SVM

Author

Qiu, Shuxiong ; Li, Zhishu ; Sun, Yafei ; Zhang, Lei ; Wang, Di

Author_Institution

Coll. of Comput. Sci., Sichuan Univ., Chengdu, China

fYear

2011

fDate

8-9 Oct. 2011

Firstpage

362

Lastpage

364

Abstract

Based on the analysis of the One-Class SVM theory, we apply progressive transductive learning method to the One-Class SVM. During the process the training samples be progressively given by label and can be dynamically adjusted. This paper propose progressive transductive OCSVM learning methods. The PTOCSVM classifier can be used in the training process and effectively step by step to make identification and classification, It has self-repair of error and get better test results than directly transductive learning.

Keywords

learning (artificial intelligence); pattern classification; support vector machines; PTOCSVM classifier; one-class SVM theory; progressive transductive OCSVM learning methods; progressive transductive learning algorithm; training process; Classification algorithms; Inference algorithms; Kernel; Support vector machine classification; Training; Vectors; Statistical study; image retrieval; one class SVM; structure risk minimization (SRM); support vector machine(SVM); transductive algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on

Conference_Location

Sanya

Print_ISBN

978-1-4577-1788-8

Type

conf

DOI

10.1109/KAM.2011.170

Filename

6137657