Description: New in this version : Support for multi-class pattern recognition u maxwins sing, Pairwise [4] and DAG- SVM [5] algorithms. A mode l selection criterion (the xi-alpha bound [6, 7] on the leave-one-out cross-validation erro r).
- [svm_toolbox] - SVM Toolbox, which contains MATLAB demo
- [matlog] - logistics analysis tool kit. Facility lo
- [svm_light_multiclass.tar] - SVM classification of more source code,
- [SVM--SVM] - support vector machines for the classifi
- [linearSVM] - linear SVM, the standard SVM objective f
- [svm_v0.54beta.tar] - SVM pattern recognition procedures for t
- [svm] - svm code for pattern recognition and cla
- [SVM] - Here to realize the four SVM toolbox Cla
- [multiclass1V1fsvm] - These procedures is a multiclass classif
- [NN-10-fold] - estimate the test accuracy,training accu
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