@inproceedings{ba7e35eabcc54816b1d6ae7f54f0c817,
title = "Adaptive multi-class support vector machine for microarray classification and gene selection",
abstract = "This paper proposes an adaptive multi-class support vector machine for simultaneous microarray classification and gene selection. By evaluating the gene ranking significance, the adaptive multi-class support vector machine is shown to encourage an adaptive grouping effect in the process of building classifiers, thus leading a sparse multi-classifiers with enhanced interpretability. Based on a reasonable correlation between the two regularization parameters, an efficient solution path algorithm is developed for solving the proposed support vector machine. Experiments performed on the leukaemia data set are provided to verify the obtained results.",
keywords = "Gene selection, Microarray classification, Multi-class support vector machine (MSVM), Solution path",
author = "Juntao Li and Yingmin Jia and Junping Du and Fashan Yu",
year = "2009",
language = "英语",
isbn = "9784907764333",
series = "ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings",
pages = "2658--2663",
booktitle = "ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings",
note = "ICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009 ; Conference date: 18-08-2009 Through 21-08-2009",
}