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:
Initial Announcement on mloss.org.
- BibTeX Entry: Download
- URL: Project Homepage
- JMLR MLOSS PaperURL: JMLR-MLOSS Paper Homepage
- Supported Operating Systems: Linux, Macosx, Windows, Unix, Solaris
- Data Formats: None
- Tags: Classification, Clustering, Support Vector Machines, Kernel Methods, Convex Optimization, Gradient Based Learning, Neural Networks, String Kernels, Optimization, Genetic Algorithms, Nips2008
- Archive: download here
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