Selection of relevant features and examples in machine learning Export

@article{blum1997selectionofrelevantfeatures, abstract = {In this survey, we review work in machine learning on methods for handling data sets containing large amounts of irrelevant information. We focus on two key issues: the problem of selecting relevant features, and the problem of selecting relevant examples. We describe the advances that have been made on these topics in both empirical and theoretical work in machine learning, and we present a general framework that we use to compare different methods. We close with some challenges for future work in this area.}, author = {Blum, A. L. and Langley, P.}, citeulike-article-id = {402254}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=270626}, citeulike-linkout-1 = {http://dx.doi.org/10.1016/S0004-3702(97)00063-5}, citeulike-linkout-2 = {http://linkinghub.elsevier.com/retrieve/pii/S0004-3702(97)00063-5}, citeulike-linkout-3 = {http://www.ingentaconnect.com/content/els/00043702/1997/00000097/00000001/art00063}, doi = {10.1016/S0004-3702(97)00063-5}, issn = {00043702}, journal = {Artificial Intelligence}, keywords = {featureselection}, month = {December}, number = {1-2}, pages = {245--271}, posted-at = {2009-05-08 13:24:31}, priority = {2}, title = {Selection of relevant features and examples in machine learning}, url = {http://dx.doi.org/10.1016/S0004-3702(97)00063-5}, volume = {97}, year = {1997} }

TY - JOUR ID - blum1997selectionofrelevantfeatures L3 - citeulike-article-id:402254 N2 - In this survey, we review work in machine learning on methods for handling data sets containing large amounts of irrelevant information. We focus on two key issues: the problem of selecting relevant features, and the problem of selecting relevant examples. We describe the advances that have been made on these topics in both empirical and theoretical work in machine learning, and we present a general framework that we use to compare different methods. We close with some challenges for future work in this area. IS - 1-2 JF - Artificial Intelligence SN - 00043702 EP - 271 TI - Selection of relevant features and examples in machine learning VL - 97 SP - 245 KW - featureselection AU - Blum, AL AU - Langley, P PY - 1997/12// UR - http://dx.doi.org/10.1016/S0004-3702(97)00063-5 ER -