Description:

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

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

Other available revisons

Version	Changelog	Date
0.2	Updated mloss entry (minor fixes).	December 27, 2011, 17:14:01
1.0	Updated entry (minor fixes to the mloss text). P.S. I'm not the author.	December 26, 2011, 23:30:09

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