Unconstrained Transductive Support Vector Machines

Authors:
Yingjie Tian;Manfu Yan
Affiliations:
Chinese Academy of Sciences Research Center;Tangshan Teacher's College
Venue:
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 02
Year:
2007

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Abstract

Support Vector Machines have been extensively used in machine learning because of its efficiency and its theoreti- cal background. This paper focuses on Transductive Sup- port Vector Machines (TSVM) for classification and con- struct a new algorithm Unconstrained Transductive Sup- port Vector Machines (UTSVM). After researching on the special construction of primal problem in TSVM, we trans- form it to an unconstrained problem and then smooth the derived problem in order to apply usual optimization meth- ods.