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支持向量机 Support Vector Machine 程序网址

已有 1315 次阅读 2016-9-1 09:54 |个人分类:本科-研究生教学|系统分类:科研笔记|关键词:最小二乘,,支持向量机,,Least,Squares,Support,Vector,Machines,程序,,,网址| 支持向量机, support, least, 最小二乘, squares

支持向量机 Support Vector Machine 程序网址

               
(1)Least Squares Support Vector Machines (LS-SVM)

http://www.esat.kuleuven.be/sista/lssvmlab/

Support Vector Machines is a powerful methodology for solving problems in nonlinear classification, function estimation and density estimation which has also led to many other recent developments in kernel based methods in general.
         
Latest version: LS-SVMlab v1.8 (August 16, 2011)
Book reference:
J.A.K. Suykens, T. Van Gestel, J. De Brabanter, B. De Moor, J. Vandewalle,
Least Squares Support Vector Machines, World Scientific, Singapore, 2002 (ISBN 981-238-151-1)
             
"Learning with primal and dual model representations: a unifying picture": plenary talk ICASSP 2016, Shanghai: [pdf]
"SVD meets LS-SVM: a unifying picture": invited seminar at UCL, LLN 2015: [pdf]

             

                     

(2)LIBSVM -- A Library for Support Vector Machines
Chih-Chung Chang and Chih-Jen Lin
LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification.

         

           

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