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An implementation of support vector machine (SVM) for the problem of pattern recognition, for the problem of regression, and for the problem of learning a ranking function. SVMlight provides methods for assessing the generalization performance efficiently. It includes two efficient estimation methods for both no error rate and precision/recall. The algorithm proceeds by solving a sequence of optimization problems lower-bounding the solution using a form of local search. SVMlight has been used on a large range of problems, including text classification, image recognition tasks, bioinformatics and medical applications.

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SVMlight classification

SVMlight specifications

Software type:
Package
Restrictions to use:
None
Programming languages:
C
Version:
6.02
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
Computer skills:
Advanced
Stability:
Stable

Credits

Publications

Institution(s)

Dipartimento di Informatica e Sistemistica Antonio Ruberti, Università di Roma La Sapienza, Roma, Italy; Istituto di Analisi dei Sistemi ed Informatica Antonio Ruberti, Consiglio Nazionale delle Ricerche, Roma, Italy

Funding source(s)

This work was supported by CNR-Agenzia2000, National Research Program Optimization methods for Support Vector Machines training.

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