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Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (genetic algorithm) wrappers for feature selection. WEKA 3 interfaces are in development.
Algorithm that can generate any given series of probabilities G, using only fair coins.
The algorithm creates a Huffman tree by decomposing any probability P into a sum of probabilites Q, where each Q is a power of 1/2.
Than using the coins, the tra
A Visual Studio .NET C++ application can perform machine learning using genetic algorithm, naive bayes, KNN, and Artificial Neural Networks (ANNs) read and processed from any standard ARFF.
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