Boosted Bayesian Network Classifiers Export

@techreport{jing05tr, author = {Jing, Y. and Pavlovic, V. and Rehg, J. M.}, citeulike-article-id = {572491}, citeulike-linkout-0 = {http://www.cs.rutgers.edu/~vladimir/pub/jing05tr.pdf}, comment = {Derives boosting to maximize CLL score (upper bound on misclassifications), using Naive Bayes as base classifiers. Extends approach to sequences, gets similar results to CRF, but faster. Good bibliography of discriminative BN training}, institution = {College of Computing, Georgia Institute of Technology}, keywords = {boosting, crf}, number = {GIT-GVU-05-23}, posted-at = {2006-04-01 21:32:48}, priority = {2}, title = {Boosted Bayesian Network Classifiers}, url = {http://www.cs.rutgers.edu/~vladimir/pub/jing05tr.pdf}, year = {2005} }

TY - RPRT ID - jing05tr L3 - citeulike-article-id:572491 IS - GIT-GVU-05-23 TI - Boosted Bayesian Network Classifiers KW - boosting KW - crf N1 - Derives boosting to maximize CLL score (upper bound on misclassifications), using Naive Bayes as base classifiers. Extends approach to sequences, gets similar results to CRF, but faster. Good bibliography of discriminative BN training AU - Jing, Y AU - Pavlovic, V AU - Rehg, JM PY - 2005/// UR - http://www.cs.rutgers.edu/~vladimir/pub/jing05tr.pdf ER -