Conditional likelihood maximisation: a unifying framework for information theoretic feature selection. Brown, G., Pocock, A., Zhao, M., & Luján, M. The Journal of Machine Learning Research, 13(1):27--66, 2012.
Conditional likelihood maximisation: a unifying framework for information theoretic feature selection [link]Paper  bibtex   
@article{brown_conditional_2012,
	title = {Conditional likelihood maximisation: a unifying framework for information theoretic feature selection},
	volume = {13},
	shorttitle = {Conditional likelihood maximisation},
	url = {http://dl.acm.org/citation.cfm?id=2188387},
	number = {1},
	urldate = {2016-04-23TZ},
	journal = {The Journal of Machine Learning Research},
	author = {Brown, Gavin and Pocock, Adam and Zhao, Ming-Jie and Luján, Mikel},
	year = {2012},
	pages = {27--66}
}

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