Description: is something that has similar roots with neural networks. But recently it has been widely used in Classification. That means, if I have some sets of things classified (But you know nothing about HOW I CLASSIFIED THEM, or say you don t know the rules used for classification), when a new data comes, SVM can PREDICT which set it should belong to.
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libsvm-2.89
...........\COPYRIGHT
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...........\java
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...........\README
...........\svm-predict.c
...........\svm-scale.c
...........\svm-toy
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...........\.......\...\callbacks.cpp
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...........\svm.cpp
...........\svm.h
...........\tools
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...........\.......\svm-predict.exe
...........\.......\svm-scale.exe
...........\.......\svm-toy.exe
...........\.......\svm-train.exe
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