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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.
16 lines
396 B
Text
16 lines
396 B
Text
@comment $NetBSD: PLIST,v 1.1.1.1 2010/05/19 11:47:15 obache Exp $
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bin/svm_classify
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bin/svm_learn
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bin/svm_model
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include/TinySVM/base_example.h
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include/TinySVM/classifier.h
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include/TinySVM/example.h
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include/TinySVM/kernel.h
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include/TinySVM/misc.h
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include/TinySVM/model.h
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include/TinySVM/param.h
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include/tinysvm.h
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lib/libtinysvm.la
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man/man1/svm_classify.1
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man/man1/svm_learn.1
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man/man1/svm_model.1
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