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Support Vector Machines (SVMs)

TinySVM is an implementation of Support Vector Machines (SVMs), for the problem of pattern recognition. Support Vector Machines is a new generation 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.

Version: 0.09 License: LGPL-2.1 GitHub
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2025-Apr-02 to 2025-May-02


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