% 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