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