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支持向量机工具箱

% Support Vector Machines.
%
% msmo       - Multi-class version of SMO.
% msvmclass  - Multi-class version of SVMCLASS.
% msvmmot    - Multi-class version of SVMMOT.
% ka         - Kernel-Adatron algorithm for SVM (L1) problem.
% kernelsk   - Kernel Schlesinger-Kozinec's algorithm, SVM (L2) problem.
% kerskfmat  - Fast version of KERNELSK.
% kernelskf  - Fast version of MERNELSK, C-source.
% kmatrix    - Computes kernel matrix for given data.
% kperceptr  - Kernel Perceptron algorithm.
% pmsvm      - Plots the SVM decision boundary for multiclass problem.
% psvm       - Plots the SVM decision boundary for binary problem.
% smomat     - Solves SVM (L1) by the Sequential Minimal Optimizer, Matlab.
% smo        - Solves SVM (L1) by the Sequential Minimal Optimizer, C-source.
% smoker     - Solves SVM (L1) by SMO using precomputed kernel matrix.
% smoker_l1o - Computes Leave One Out validation for SVM trained by SMO.
% svmdemo    - Demo on the Support Vector Machines.
% svmclass   - Classifies patterns using SVM decision rule.
% svmclass2  - Classifies patterns uisng SVM decision rule, C-source code.
% svmhyper   - Compute a hyperplane for linear case of SVM.
% svmmot     - Solves SVM (L1) problem by Matlab Optimization Toolbox.
% svm2mot    - Solves SVM (L2) problem by Matlab Optimization Toolbox.
%  

% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cmp.felk.cvut.cz
% Written Vojtech Franc (diploma thesis) 02.11.1999
%
% Modifications
% 21-nov-2001, V.Franc, kperceptr added.
% 21-oct-2001, V.Franc, smoker, smoker_l1o, kernel_matrix. 
% 19-sep-2001, V.Franc, new functions added.
% 18-aug-2001, V.Franc, added kernelskf
% 17-aug-2001, V.Franc, added kernelsk, svm2learn
% 18-apr-2001, V.Franc, added msvmclass, msvmlearn, pmsvm, psvm
% 23-mar-2001 V. Franc, directory created