The use of Unlabeled Data in Supervised Learning: the Manifold Dossier
Pattern Analysis over Graphs, and Bioinformatics Applications
Machine Learning in Computational Biology (the frequentist approach)
From Trees to Forests and Rule Sets - A Unified Overview of Ensemble Methods
Blockwise Coordinate Descent Procedures for the Multi-Task Lasso with Applications to Neural Semantic Basis Discovery
Kernel Based Methods
Minimum Error Entropy Principle for Learning
Poster Spotlights 2
Latent Variable Sparse Bayesian Models
Feature selection, fundamentals and applications