TinySVM System

A TinySVM System is an SVM-centric software tool.

• Context:
  • It implements:
    • a Fully-Supervised Classification Algorithm (to solve Classification Tasks).
    • a Fully-Supervised Regression Algorithm (to solve Regression Tasks).
    • a Distribution Estimation Task.
  • It requires Binarized Categorical Data.
  • …
• Counter-Example(s):
  • LIBSVM.
  • LIBLINEAR System.
  • SVMlight.
  • Shogun.
• See: Regularization Parameter, Taku Kudo, SVM Classification System.

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References

• http://chasen.org/~taku/software/TinySVM/

2002

• (Kudoh, 2002) ⇒ Taku Kudoh. (2002). “Tinysvm: Support Vector Machines.” http://chasen.org/taku/software/TinySVM/
  • QUOTE: TinySVM is an implementation of Support Vector Machines (SVMs) [Vapnik 95], [Vapnik 98] 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.

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