📄 contents.m
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% contents.m
%
% This directory contains a example files that illustrates
% some of the algorithm developed in the toolsvm or toolreg
%
% File | Comments
%
%
% ------------------------- Classification----------------------
%
% exclass | 2D SVM Classification problem
% |
% exclass1 | 2D SVM Classification problem with different C
% | penalization and wavelet kernels
% exclass2 | Comparing Gaussian Kernel and Polynomial Kernel on 2D
% | SVM Classification problem
% exclass3 | 2D SVM Classification with Semiparametric models
% |
% exclassalphainit | Example of initialization of the Lagragian
% | Multipliers in the QP Solver
% exclasscheckershaarkernel | Comparing Haar Kernel and Gaussian Kernel on
% | the checker problem
% exclasscheckershaarkernel2 | Comparing Haar Kernel and Gaussian Kernel on
% | the checker problem based on 100 trials
% exclassls | Example of large-scale classification problem
% |
% exclassnpa | Example of SVM Classification Using NPA algorithm
% |
% exclassrn | Regularization Networks for classifying the CheckerBoard
% | Problem
% exclassrn1 | SemiParametric Regularization Networks
% | Problem
% exmulticlass | Example of multiclass problem using
% | "one-against-all" algorithm
% exmulticlass1 | Treating the example presented by Lin & Wahba and analysing
% | "One against all" and "one-against-one" algorithm
% exmulticlass2 | Treating another example with "one-against-one" algorithm
% | and comparing the pdf of each class and decision bondaries
% exmulticlass1v1 | Example of multiclass problem using
% | "one-against-one" algorithm
% exmulticlassall | M-SVM algorithm for treating the multiclasse problem
% |
% exmulticlassall2 | Another M-SVM examples with assymetric penalization coefficients
%
% ------------------------- Regression---------------------------
% exreg1d | 1D SVM Regression problem
% |
% exreg2d | 2D SVM Regression problem
%
% exreg1dls | 1D Large Scale SVM Regression problem
% ------------------------- Wavelet Kernels ---------------------
% extensorwavkernel | Example of the different possibility of wavelet kernel
% | On a classification problems
% | (You need the WAVELAB TOOLBOX)
%
%-------------------------- Feature Selection -------------------
% FeatSelAdaptScal | Demo of the SVM adaptive scaling method of GrandValet & Canu
% |
% FeatSelAdaptScal1 | Example of adaptive scaling as described in the NIPS paper
% | See Grandvalet & Canu 2003
%
% FeatSelExample | Demo of Rakotomamonjy et al. paper
%---------------------------Kernel PCA -------------------------
% kpca1 | Simple Example of Kernel PCA on a artificial datasets
% |
% kpca2 | Example of KPCA. this is a B.Scholkopf modified routine
% |
% kpca3 | Example of Multilayer SVM with a KPCA as a first stage
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