Poster Spotlights 2
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A Space of Feature Selection Criteria based on Multivariate Mutual Information
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
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
State Extraction by Dimensionality Reduction
Wendelin Boehmer, Steffen Grunewalder, Klaus Obermayer
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