-
- Description:
MSVMpack is dedicated to multi-class support vector machines (M-SVM), 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.
MSVMpack provides the first parallel implementation of M-SVMs and use vectorized kernel functions depending on the data type for faster computations.
The software is based on two command-line tools, but also provides a full library (C API) to include its functionalities in other programs and a Matlab interface. Templates are provided to ease the addition of custom kernels.
MSVMpack now includes a web server, which offers a platform-independent GUI through a set of simple web pages. This means that training and testing can be easily controlled from a Windows computer (or even a tablet or smartphone) with network access to a Linux host running MSVMpack.
- Changes to previous version:
- Added Matlab interface.
- BibTeX Entry: Download
- Corresponding Paper BibTeX Entry: Download
- Supported Operating Systems: Linux, Macosx, Platform Independent On The Client Side
- Data Formats: Ascii, Matlab
- Tags: Kernel, Svm, Support Vector Machines, Parallel, Msvm, Multiclass Support Vector Machine, Jmlr, Server
- Archive: download here
Comments
No one has posted any comments yet. Perhaps you'd like to be the first?
Leave a comment
You must be logged in to post comments.