The Kernel-Machine Library is a free (released under the LGPL) C++ library to promote the use of and progress of kernel machines. It is intended for use in research as well as in practice. The library is known to work with a recent C++ compiler on GNU/Linux, on Mac OS, and on several flavors of Windows. Learner implementation examples are provided.
SVN Repository: http://www.terborg.net/svn/trunk/kml/
Contents: Kernels, Mercer Kernel, Kernel Classes, linear, gaussian, hermitian, polynomial, sigmoid, Data Sets, Computational Learning, Supervised Learning, Learning Classes, classification, regression, ranking, Kernel Machines, Machine Classes, figueiredo, krls, rvm, svm.
- Changes to previous version:
Updated mloss entry (minor fixes).
- BibTeX Entry: Download
- Corresponding Paper BibTeX Entry: Download
- URL: Project Homepage
- Supported Operating Systems: Linux, Windows, Mac Os X
- Data Formats: Ascii
- Tags: Classification, Regression, Support Vector Machines, Kernel Methods, Machine Learning, Supervised Learning, Relevance Vector Machines, Adaptive Sparseness
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