%0 Journal Article %1 brown2012conditional %A Brown, G. %A Pocock, A. %A Zhao, M.J. %A Luján, M. %D 2012 %J Journal of Machine Learning Research %K feature information ml selection theory %P 27--66 %T Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection %U http://scholar.google.com/scholar.bib?q=info:xytlQCJxY3UJ:scholar.google.com/&output=citation&hl=en&as_sdt=0,5&as_vis=1&ct=citation&cd=0 %V 13

@article{brown2012conditional, added-at = {2012-02-17T15:51:31.000+0100}, author = {Brown, G. and Pocock, A. and Zhao, M.J. and Luj{\'a}n, M.}, biburl = {https://www.bibsonomy.org/bibtex/2c7f85614c152738abd000c94bcdba1b4/folke}, interhash = {4114e3398c200b74eeb34e1688a3e443}, intrahash = {c7f85614c152738abd000c94bcdba1b4}, journal = {Journal of Machine Learning Research}, keywords = {feature information ml selection theory}, pages = {27--66}, timestamp = {2012-02-17T15:51:31.000+0100}, title = {Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection}, url = {http://scholar.google.com/scholar.bib?q=info:xytlQCJxY3UJ:scholar.google.com/&output=citation&hl=en&as_sdt=0,5&as_vis=1&ct=citation&cd=0}, volume = 13, year = 2012 }