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.
