LIBSVM -- A Library for Support Vector Machines
LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM).
3 Performance Measures, Basic Usage, and Code Organization This section describes LIBSVM’s evaluation measures, shows some simple examples of running LIBSVM, and presents the …
LIBSVM Data: Classification, Regression, and Multi-label
This page contains many classification, regression, multi-label and string data sets stored in LIBSVM format. For some sets raw materials (e.g., original texts) are also available.
國立臺灣大學資訊工程學系
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LIBSVM FAQ - 國立臺灣大學資訊工程學系
No, libsvm solves linear/nonlinear SVMs by the same way. Some tricks may save training/testing time if the linear kernel is used, so libsvm is NOT particularly efficient for linear SVM, …
LIBSVM - 國立臺灣大學資訊工程學系
LIBSVM provides a simple interface where users can easily link it with their own programs. In addition, we provide a graphic interface to demonstrate 2-D pattern recognition.
LIBSVM Tools - 國立臺灣大學資訊工程學系
This is a graphical environment for doing experiments with libsvm. You can create and connect components (like scaler, trainer, predictor, etc) in this environment.
LIBSVM Data: Classification (Binary Class)
This page contains many classification, regression, multi-label and string data sets stored in LIBSVM format. For some sets raw materials (e.g., original texts) are also available.
piaip's Using (lib)SVM Tutorial
After reading some materials on the internet and discussing libsvm with some of my classmates and friends , I wanted to provide some notes here as a tutorial for those who do not need to …
LIBSVM Data: Classification (Multi-class)
This page contains many classification, regression, multi-label and string data sets stored in LIBSVM format. For some sets raw materials (e.g., original texts) are also available.