Fast Weak Learner Based on Genetic Algorithm

Details Fast Weak Learner Based on Genetic Algorithm Fast Weak Learner Based on Genetic Algorithm

2009-06-04

arxiv.org/abs/0906.0872v1

Computer Science

Learning

4 pages, acmsiggraph latex style packed with the latex source in the single archive

Scientific paper

An approach to the acceleration of parametric weak classifier boosting is proposed. Weak classifier is called parametric if it has fixed number of parameters and, so, can be represented as a point into multidimensional space. Genetic algorithm is used instead of exhaustive search to learn parameters of such classifier. Proposed approach also takes cases when effective algorithm for learning some of the classifier parameters exists into account. Experiments confirm that such an approach can dramatically decrease classifier training time while keeping both training and test errors small.

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