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This page has links to interesting machine learning applications and demos, as well as software packages that may be used for learning.



  1. Statistical Pattern Recognition Toolbox for Matlab
    This is a collection of pattern recognition methods implemented in Matlab that includes the perceptron algorithm, support vector machines, nearest neighbor classifiers, principal components methods, density estimation and clustering and many more. The web page for the toolbox is here where you may find the users guide, the Matlab files along with demos, which you may also get by clicking here: Matlab files.

    The toolbox was written by Vojtech Franc as his master thesis project supervised by Vaclav Hlavac. The project was defended in February 2000 at Czech Technical University in PragueFaculty of Electrical EngineeringCenter for Machine Perception