Libsvm

hslibsvm is a free and open source Haskell binding to libsvm. Platforms: Mac

* jCompoundMapper provides popular fingerprinting algorithms for chemical graphs such as depth-first search fingerprints, shortest-path fingerprints, extended connectivity fingerprints, autocorrelation fingerprints (e.g. CATS2D), radial fingerprints (e.g. Molprint2D), geometrical Molprint, atom... Platforms: Mac

Ruby SVM is a Ruby binding to the very popular and highly useful libsvm library (released under a seperate license) This allows you to effortlessly experiment with machine learning, in particular Support Vector Machines, in Ruby. SVM's have found use in Platforms: *nix

PiSvM is a parallel Support Vector Machine (SVM) implementation. It supports C-SVC, nu-SVC, epsilon-SVR and nu-SVR and has a command-line interface similar to the popular LibSVM package. Platforms: *nix

SVMs are a bit tricky. In this case, we show a linear SVM and illustrate its behaviour on some 2D data. This should be great for getting to grips with maximising geometric margins, support vectors, and the optimisation involved in computing an optimal separating hyperplane.Data can be generated... Platforms: Matlab

This demo gives a clear visual presentation of what happens during the Adaboost algorithms. It shows how the decision boundary, example weights, training error and base learner weights change during training.A selection of base learning algorithms are included: Linear Regression, Naive Bayes,... Platforms: Matlab

A fast Gentle Adaboost classifier with two different weak-learners: i) decision stump and ii) perceptron. Multiclass is performed with the one-against-all strategy.Usage ------ model = gentleboost_model(X , y , [T] , [options]); Inputs ------- X Features matrix (d x N) y Labels (1 x N). If y... Platforms: Matlab