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pcSVM is a framework for support vector machines

Project Description

pcSVM is a framwork for support vector machines. Support Vector Machines is a new generation of learning algorithms based on recent advances in statistical learning theory, and applied to large number of real-world applications, such as text categorization, hand-written character recognition. Support Vector Machines outperform other classifiers as artificial neural networks in most situations. The core of the framework is written in c++, I used boost.python for python support.

Release History

Release History

This version
History Node

pre 1.0

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