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SVM-light - SVM-light -- Support Vector Machine

Description:

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
• solves classification, regression, and ranking problems
• computes XiAlpha-estimates of the error rate, the precision, and the recall
• efficiently computes Leave-One-Out estimates of the error rate, the precision, and the recall
• includes algorithm for approximately training large transduction SVMs
• can train SVMs with cost models
• handles many thousands of support vectors
• handles several hundred-thousands of training examples
• supports standard kernel functions and lets you define your own
• uses sparse vector representation

Link:

http://svmlight.joachims.org/

Software File:

Authors:

Joachims, Thorsten

Projects:

SFB 475 subproject A4