Beyond Fano’s Inequality: Bounds on the Optimal F-Score, BER, and Cost-Sensitive Risk and Their Implications [PDF]
Ming-Jie Zhao, Narayanan Edakunni, Adam Pocock, and Gavin Brown
Journal of Machine Learning Research (JMLR). Volume 14, Pages 1033-1090, 2013.
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection [PDF][Poster]
Gavin Brown, Adam Pocock, Ming-Jie Zhao, and Mikel Luján
Journal of Machine Learning Research (JMLR). Volume 13, Pages 27-66, 2012.
The paper is available here and the code for the various feature selection algorithms is on mloss or locally hosted here.
Informative Priors for Markov Blanket Discovery [PDF]
Adam Pocock, Mikel Luján, and Gavin Brown
15th Intl Conference on Artificial Intelligence and Statistics (AISTATS). La Palma, April 2012.
Published in JMLR W&CP, Volume 22, Pages 905-913.