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Projeto Descrição

The Kernel-Machine Library is a C++ library to
promote the use and progress of kernel machines.
It is both for academic use and for developing
real world applications. The Kernel-Machine
Library draws heavily from features of modern C++
such as template meta-programming to achieve high
performance while at the same time offering a
comfortable interface. It enables compile-time
selection of specialized algorithms on the basis
of data types: for example, the specific case of a
SVM in combination with a linear kernel can be
computed by a specialized efficient algorithm.

System Requirements

System requirement is not defined
Information regarding Project Releases and Project Resources. Note that the information here is a quote from Freecode.com page, and the downloads themselves may not be hosted on OSDN.

2005-04-25 19:28
0.1

Atualmente os métodos disponíveis são as Support Vector Machine, Relevance Vector Machine, Kernel Recursive Least Squares, e Adaptive Sparseness usando Jeffreys Prior.
Tags: Initial freshmeat announcement
Currently available methods are the Support Vector
Machine, Relevance Vector Machine, Kernel
Recursive Least Squares, and Adaptive Sparseness
using Jeffreys Prior.

Project Resources