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20 lines
899 B
Plaintext
20 lines
899 B
Plaintext
LIBSVM is an integrated software for support vector classification, (C-SVC,
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nu-SVC ), regression (epsilon-SVR, nu-SVR) and distribution estimation
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(one-class SVM ). It supports multi-class classification. The basic algorithm
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is a simplification of both SMO by Platt and SVMLight by Joachims. It is also
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a simplification of the modification 2 of SMO by Keerthi et al.
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Our goal is to help users from other fields to easily use SVM as a tool.
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LIBSVM provides a simple interface where users can easily link it with their
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own programs. Main features of LIBSVM include
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Different SVM formulations
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Efficient multi-class classification
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Cross validation for model selection
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Weighted SVM for unbalanced data
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Both C++ and Java sources
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GUI demonstrating SVM classification and regression
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WWW: http://www.csie.ntu.edu.tw/~cjlin/libsvm/
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Author: Chih-Chung Chang and Chih-Jen Lin <cjlin@csie.ntu.edu.tw>
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