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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
Maintainers No Maintainer
Categories math
Homepage http://chasen.org/~taku/software/TinySVM/
Platforms darwin
Variants
  • universal (Build for multiple architectures)

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