Data preprocessing in semi-supervised SVM classification

Author： Astorino A.  

Publisher： Taylor & Francis Ltd

ISSN： 0233-1934

Source： Optimization, Vol.60, Iss.1-2, 2011-01, pp. : 143-151

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Fast semi-supervised SVM classifiers using a priori metric information

By Vural Volkan   Fung Glenn   Dy Jennifer   Rao Bharat  

Optimization Methods and Software, Vol. 23, Iss. 4, 2008-08 ,pp. : 521-532

Taylor & Francis Ltd

Access to resources Recommend Favorite

New SDP models for protein homology detection with semi-supervised SVM

By Bai Y.Q.   Niu B.L.   Chen Y.  

Optimization, Vol. 62, Iss. 4, 2013-04 ,pp. : 561-572

Taylor & Francis Ltd

Access to resources Recommend Favorite

An improved SVM method P-SVM for classification of remotely sensed data

By Zhang R.   Ma J.  

International Journal of Remote Sensing, Vol. 29, Iss. 20, 2008-10 ,pp. : 6029-6036

Taylor & Francis Ltd

Access to resources Recommend Favorite

Mixture graph based semi-supervised dimensionality reduction

By Yu G.   Peng H.   Wei J.   Ma Q.  

Pattern Recognition and Image Analysis, Vol. 20, Iss. 4, 2010-12 ,pp. : 536-541

MAIK Nauka/Interperiodica

Access to resources Recommend Favorite

Semi-supervised learning with local and global consistency

By  

International Journal of Computer Mathematics, Vol. 91, Iss. 11, 2014-11 ,pp. : 2389-2402

Taylor & Francis Ltd

Access to resources Recommend Favorite