Fast Weak Learner Based on Genetic Algorithm Export

@article{citeulike:4747035, abstract = {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.}, archivePrefix = {arXiv}, author = {Yangel, Boris}, citeulike-article-id = {4747035}, citeulike-linkout-0 = {http://arxiv.org/abs/0906.0872}, citeulike-linkout-1 = {http://arxiv.org/pdf/0906.0872}, eprint = {0906.0872}, keywords = {boosting, classification, genetic, haar}, month = {Jun}, posted-at = {2009-06-05 06:53:42}, priority = {0}, title = {Fast Weak Learner Based on Genetic Algorithm}, url = {http://arxiv.org/abs/0906.0872}, year = {2009} }

TY - JOUR ID - citeulike:4747035 L3 - citeulike-article-id:4747035 N2 - 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. TI - Fast Weak Learner Based on Genetic Algorithm KW - boosting KW - classification KW - genetic KW - haar AU - Yangel, Boris PY - 2009/Jun/04/ UR - http://arxiv.org/abs/0906.0872 ER -