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January 09, 2005

Tuning The Kernel With A Genetic Algorithm

Genetic algorithms as used in machine learning are modeled after the process of evolution as observed in nature, and are a field within the science of artificial intelligence. The idea is to generate a "population" defined with unique strings of "chromosomes", to test each of these chromosome strings for "fitness", to select a subset of the chromosome strings with the best fitness and use them to create new chromosomes, to apply random mutation to a small subset, and finally to start the process all over again. Over time, all the chromosomes should "evolve" toward having the best possible fitness, as defined by the algorithm.

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Posted by thinkingmachine at January 9, 2005 12:25 PM

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