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Kernel-Machine Library 0.1

Date Added: November 21, 2010 | Visits: 1.252

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The Kernel-Machine Library is a freely available (released under the GPL) 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 specialised 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 specialised efficient algorithm. The Kernel-Machine Library has implementations for the following kernel machines and their cited algorithms: - Support Vector Machine [1, 2, 3] - Relevance Vector Machine [4] - Kernel Recursive Least Squares [5] - Adaptive Sparseness using Jeffreys Prior [6] - Smooth Relevance Vector Machine [7] Up till now, the focus has been on regression. The handling of classification and ranking problems is being added..

Requirements: No special requirements

Platforms: Linux

Keyword: C Library, C++, Kernel, Kernelmachine, Libraries, Library, Machine Library, Programming

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License: Freeware

Size: 51.2 KB

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