Description:

SHARK is a modular C++ library for the design and optimization of adaptive systems. It provides methods for linear and nonlinear optimization, in particular evolutionary and gradient-based algorithms, kernel-based learning algorithms and neural networks, and various other machine learning techniques.

Changes to previous version:

• moved to GitHub
• new build system
• minor bug fixes

BibTeX Entry: Download

Corresponding Paper BibTeX Entry: Download

Supported Operating Systems: Linux, Macosx, Windows, Unix, Solaris

Data Formats: Ascii

Tags: Classification, Clustering, Support Vector Machines, Kernel Methods, Convex Optimization, Gradient Based Learning, Neural Networks, String Kernels, Optimization, Genetic Algorithms, Nips2008

Archive: download here

Other available revisons

Version	Changelog	Date
2.3.0	moved to GitHub new build system minor bug fixes	October 24, 2009, 22:12:48
2.2.2	minor bug fixes	April 29, 2009, 09:09:54
2.2.0	Initial Announcement on mloss.org.	April 29, 2008, 16:05:41

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