- Extreme Learning Machine
generalized Single-hidden Layer Feed forward Networks (SLFNs) and how to build them. Since work as universal approximators with adjustable hidden parameters, all parameters of ELMs can be analytically determined instead of being tuned. Written in Matlab. [GPL]
http://www3.ntu.edu.sg/home/egbhuang/
(Added: Mon Apr 04 2011 Hits: 0 Rating: 0.00 Votes: 0)
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- GAlib: Matthew's Genetic Algorithms Library
A toolset of genetic algorithm objects for C++ to perform optimization. Uses any representation and genetic operators. The documentation contains implementation and examples. Nice screenshots. PVM for distributed, parallel implementations. Includes graphic examples that use the Athena, Motif widget sets, or MFC. [BSD]
http://lancet.mit.edu/ga/
(Added: Mon Apr 04 2011 Hits: 0 Rating: 0.00 Votes: 0)
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- International Cognitive Computing
CAMBO, a multi-Expert System Generator. Artificial Intelligence, Machine Learning, Natural Language Processing, Knowledge Normalization, Knowledge Engineering. This system uses natural language processing to extract “natural” knowledge base representations from an entity to illustrate how an entity conducts business. Alarms can also be created in the monitor tool. Informatino only.
http://www.cambo-2010.com
(Added: Mon Apr 04 2011 Hits: 0 Rating: 0.00 Votes: 0)
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- Markov TheBeast
A Markov Logic Interpreter that focuses on efficient MAP inference and Online Learning featuring MAP inference using Cutting Planes combined with Max-Walk-Sat programming, parametrized weights, a shell interpreter, and cardinality constraints. [GPL]
http://code.google.com/p/thebeast/
(Added: Mon Apr 04 2011 Hits: 0 Rating: 0.00 Votes: 0)
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- Milepost GCC Compiler
A program compiler with built-in machine learning to find the most efficient compilation possible based upon the processor the program is run on. A collective optimization database, predictor web-service, and frameworks are available in order to make suggestions and further streamline the efficiency quotient of the user. This is the open source compiler that IBM has created press releases on using. [GPL]
http://ctuning.org/wiki/index.php/CTools:MilepostGCC
(Added: Mon Apr 04 2011 Hits: 0 Rating: 0.00 Votes: 0)
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- MLPY Machine Learning
A high performance Python package for predictive modeling. Fast N-dimentional array manipulation is performed via numpy using C code. New features include: OLS, Ridge Regression, Kernel Redge Regression, LASSO, LARS, Gradient descent for Regression, and K-Means. [GPL]
http://mloss.org/software/view/66/
(Added: Mon Apr 04 2011 Hits: 0 Rating: 0.00 Votes: 0)
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- mPOEMS in JAVA
A generic framework for the evolutionary search algorithm mPOEMS. It was designed to solve optimisation problems, with an unrestricted number of objectives. This site provides all sources and some exemplary implementations, e.g. of the n-hard knapsack problem. [AFL]
http://code.google.com/p/mpoems-in-java/
(Added: Mon Apr 04 2011 Hits: 0 Rating: 0.00 Votes: 0)
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- OpenCyc
Open source version of the Cyc technology, the world's largest and most complete general knowledge base and commonsense reasoning engine. Can be used as the basis of a wide variety of intelligent applications including; rapid development of an ontology in a vertical area, email prioritizing, routing, summarization, and annotating, expert systems, game engine development. [GPL]
http://www.opencyc.org/
(Added: Mon Apr 04 2011 Hits: 0 Rating: 0.00 Votes: 0)
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- Rapid Miner
The Rapid Miner toolset is an environment for machine learning through use of nested operators. Multiple experiments can be arbitrarily nested together through use of a graphical XML based user interface. (Formerly YALE) [GPL]
http://rapid-i.com/
(Added: Mon Apr 04 2011 Hits: 0 Rating: 0.00 Votes: 0)
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- shogun | A Large Scale Machine Learning Toolbox
A generic SVN object interface with many implementations including OCAS, Liblinear, LibSVM, SVMLight, SVMLin, and GPDT. Each SVN provides efficitne implementations of the most common kernals such as Linear, Ploynomial, Gaussian, and Sigmond Kernel and others. Implemented in C++ and interfaces to Matlab(tm), R, Octave and Python. [GPL]
http://www.shogun-toolbox.org/
(Added: Mon Apr 04 2011 Hits: 0 Rating: 0.00 Votes: 0)
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- The Torch Machine Learning Library
This package forms a complete gradient descent machine learning library. Modules support vector machines in classification and regression, ensemble models such as bagging or adaboost, non-parametric models such as K-nearest neighbors, Parzen regression, and Parzen density estimation. Includes speech recognition tools. Written in C++ [BSD]
http://www.torch.ch/
(Added: Mon Apr 04 2011 Hits: 0 Rating: 0.00 Votes: 0)
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- Tree Visualizer
Software which allows one to navigate (fly) through the data tree, zoom in on interesting nodes, click on bars to get counts, and mark interesting places in the tree. Includes datasets for automobiles, voting, produce, and medical research. Uses LEDA, ([AFL] licensed only). [GPL]
http://www.sgi.com/tech/mlc/trees.html
(Added: Mon Apr 04 2011 Hits: 0 Rating: 0.00 Votes: 0)
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