posted 1 project.
MSVMpack is a Multi-class Support Vector Machine (M-SVM) package. It is dedicated to SVMs which can handle more than two classes without relying on decomposition methods and implements the four M-SVM models from the literature: Weston and Watkins M-SVM, Crammer and Singer M-SVM, Lee, Lin and Wahba M-SVM, and the M-SVM2 of Guermeur and Monfrini.
Added parallelized k-Fold cross validation ('-cv k' option in trainmsvm)
Cache size now defaults to the maximum amount of memory
Minor bug fixes for the Matlab interface
- Operating System:
Platform Independent On The Client Side
- Data Formats:
- JMLR-MLOSS Publication:
Support Vector Machines,
Multiclass Support Vector Machine,