SVMlight Algorithm

An SVMlight Algorithm is a SVM Algorithm managed by Thorsten Joachims.

• Context:
  • SVMstruct: SVM learning for multivariate and structured outputs like trees, sequences, and sets (available here).
  • SVMperf: New training algorithm for linear classification SVMs that can be much faster than SVMlight for large datasets. It also lets you directly optimize multivariate performance measures like F1-Score, ROC-Area, and the Precision/Recall Break-Even Point. (available here).
  • SVMrank: N
• See: libsvm Algorithm, TinySVM Algorithm.

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References

2009

• http://svmlight.joachims.org/
  • SVM^light is an implementation of Support Vector Machines (SVMs) in C. The main features of the program are the following:
    • fast optimization algorithm
      • working set selection based on steepest feasible descent
      • "shrinking" heuristic
      • caching of kernel evaluations
      • use of folding in the linear case
    • …

2002

• (Joachims, 2002) ⇒ Thorsten Joachims. (2002). “Learning to Classify Text Using Support Vector Machines: Methods, Theory, and Algorithms." Dissertation, Kluwer. ISBN:0-7923-7679-X

1999

• (Joachims, 1999) ⇒ Thorsten Joachims. (1999). “Making large-Scale SVM Learning Practical.” In: Advances in Kernel Methods - Support Vector Learning, Bernhard Schölkopf and C. Burges and Alexander J. Smola (ed.), MIT-Press.

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