Poster Spotlights 1

published: May 6, 2009,   recorded: April 2009,   views: 3660

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Description

A Comparison of Inference Methods for Sparse Factor Analysis Models
Oliver Stegle, Kevin Sharp, Magnus Rattray, John Winn

Generalization Bounds for Learning the Kernel: Rademacher Chaos Complexity
Yiming Ying, Colin Campbell

Learning Non-Sparse Kernel Mixtures
Marius Kloft, Ulf Brefeld, Soren Sonnenburg, Alexander Zien, Pavel Laskov, Klaus-Robert Muller

l1 regularization path for functional features
Manuel Loth, Philippe Preux

Lq-regularised sparse classifiers: A PAC-Bayes analysis
Ata Kaban

Robust Regression and Lasso
Huan Xu, Constantine Caramanis, Shie Mannor

Selection in Functional ANOVA Models with Non-uniform Data
Marco Signoretto, Kristiaan Pelckmans, Johan A.K. Suykens

Sparse and Interpretable Principal Components
Doyo Gragn, Nickolay T. Trendafilov

Sparse multiscale spatial models of fMRI on irregular graphs
Harrison L., Woods W., Green G.

Stagewise Polytope Faces Pursuit for Recovery of Sparse Representations
Mark D. Plumbley, Marco Bevilacqua

Subspectral Algorithms for Sparse Learning
Baback Moghaddam, Yair Weiss, Shai Avidan

Variable Selection and Sparsity Recovery via L1/2 Penalty
Zongben Xu, Hai Zhang, Yao Wang, Xiangyu Chang

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