Ensemble Feature Selection with the Simple Bayesian Classification in Medical Diagnostics

@misc{citeulike:1193504, abstract = {A popular method for creating an accurate classifier from a set of training data is to build several classifiers, and then to combine their predictions. The ensembles of simple Bayesian classifiers have traditionally not been a focus of research. One way to generate an ensemble of accurate and diverse simple Bayesian classifiers is to use different feature subsets generated with the random subspace method. In this case, the ensemble consists of multiple classifiers constructed by randomly...}, author = {Tsymbal, A. and Puuronen, S. }, citeulike-article-id = {1193504}, keywords = {bayes, bayesian, feature, rule, selection}, posted-at = {2007-03-29 00:09:41}, priority = {2}, title = {Ensemble Feature Selection with the Simple Bayesian Classification in Medical Diagnostics}, url = {http://citeseer.ist.psu.edu/623033.html} }

TY - GEN ID - citeulike:1193504 L3 - citeulike-article-id:1193504 N2 - A popular method for creating an accurate classifier from a set of training data is to build several classifiers, and then to combine their predictions. The ensembles of simple Bayesian classifiers have traditionally not been a focus of research. One way to generate an ensemble of accurate and diverse simple Bayesian classifiers is to use different feature subsets generated with the random subspace method. In this case, the ensemble consists of multiple classifiers constructed by randomly... TI - Ensemble Feature Selection with the Simple Bayesian Classification in Medical Diagnostics KW - bayes KW - bayesian KW - feature KW - rule KW - selection AU - Tsymbal, A AU - Puuronen, S UR - http://citeseer.ist.psu.edu/623033.html ER -