Poster Spotlights 2

**A Space of Feature Selection Criteria based on Multivariate Mutual Information**\\ Gavin Brown **Alternatives to modelling sparsity in gene expression networks**\\ N.J. Burroughs, M.A. Juarez, E.R.Morrissey **Average-case theory for sparse Bayesian PCA in p > n regime**\\ Magnus Rattray **Inferring genetic regulation using Sparse Bayesian Regression with Penalised Splines**\\ Nigel Burroughs, Miguel Juraez, Ed Morrissey **Learning Graphical Model Structure with Bayesian Sparse Linear Factor Models**\\ Ricardo Henao, Ole Winther **Learning Sparse Classifiers with Applications to Biomedical Research**\\ Colin Campbell, Yiming Ying **l1 Regularisation with Conditionally Positive Definite Kernels**\\ Christian Walder, Jalal Fadili, Stephane Canu **Model Selection with Penalised Likelihood In a Multi-Dimensional Contingency Table**\\ Susana Conde, Gilbert MacKenzie, Peter Egger **Sparse Algorithms are not Stable: A No-free-lunch Theorem**\\ Huan Xu, Constantine Caramanis, Shie Mannor **Sparsity in Adaptive Control**\\ Philippe Preux, Sertan Girgin **Speech signal modelling with sparse autoregression**\\ Mahesan Niranjan **State Extraction by Dimensionality Reduction**\\ Wendelin Boehmer, Steffen Grunewalder, Klaus Obermayer**\\