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Title: libsvm-2.89 Download
 Description: SVM, Support Vector Machine , 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.
 Downloaders recently: [More information of uploader ohrebound]
 To Search: libsvm 2.
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libsvm-2.89
...........\COPYRIGHT
...........\FAQ.html
...........\heart_scale
...........\java
...........\....\libsvm
...........\....\......\svm.java
...........\....\......\svm.m4
...........\....\......\svm_model.java
...........\....\......\svm_node.java
...........\....\......\svm_parameter.java
...........\....\......\svm_print_interface.java
...........\....\......\svm_problem.java
...........\....\libsvm.jar
...........\....\Makefile
...........\....\svm_predict.java
...........\....\svm_scale.java
...........\....\svm_toy.java
...........\....\svm_train.java
...........\....\test_applet.html
...........\Makefile
...........\Makefile.win
...........\python
...........\......\cross_validation.py
...........\......\Makefile
...........\......\README
...........\......\setup.py
...........\......\svm.py
...........\......\svmc.i
...........\......\svmc_wrap.c
...........\......\svm_test.py
...........\......\test_cross_validation.py
...........\README
...........\svm-predict.c
...........\svm-predict.obj
...........\svm-scale.c
...........\svm-toy
...........\.......\gtk
...........\.......\...\callbacks.cpp
...........\.......\...\callbacks.h
...........\.......\...\interface.c
...........\.......\...\interface.h
...........\.......\...\main.c
...........\.......\...\Makefile
...........\.......\...\svm-toy.glade
...........\.......\qt
...........\.......\..\Makefile
...........\.......\..\svm-toy.cpp
...........\.......\windows
...........\.......\.......\svm-toy.cpp
...........\svm-toy.obj
...........\svm-train.c
...........\svm-train.obj
...........\svm.cpp
...........\svm.h
...........\svm.obj
...........\tools
...........\.....\checkdata.py
...........\.....\easy.py
...........\.....\grid.py
...........\.....\README
...........\.....\subset.py
...........\windows
...........\.......\heart_scale
...........\.......\heart_scale.model
...........\.......\heart_scale.out
...........\.......\oh.model
...........\.......\python
...........\.......\......\svmc.pyd
...........\.......\svm-predict.exe
...........\.......\svm-scale.exe
...........\.......\svm-toy.exe
...........\.......\svm-train.exe
...........\.......\test.model
...........\.......\test.out
...........\.......\test_predict
...........\.......\test_scale
    

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