Material Detail

This video was recorded at Workshop on Sparsity in Machine Learning and Statistics, Cumberland Lodge 2009. 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

Disciplines:

• Science and Technology  / Computer Science