MatlabBGL is a Matlab package for working with graphs. It uses the Boost Graph Library to efficiently implement the graph algorithms. MatlabBGL is designed to work with large sparse graphs with hundreds of thousands of nodes.
by Andrew Moore (CMU), including tutorials on decision trees, information gain, cross validation, naive bayesian classifiers, hidden markov models, support vector machines, k-means and hierarchical clustering
intended to develop into a large store of useful mathematical problem-solving techniques. Some of these techniques will be very general, while others will concern particular subareas of mathematics. All of them will be techniques that are used regularly by mathematical problem-solvers, at every level of experience.