Title :
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
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;
Conference_Titel :
Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4577-1788-8
DOI :
10.1109/KAM.2011.170
