Data Mining
Prediction: Machine Learning and Statistics
Approximate Bayesian Computation: What, Why and How?
Monte Carlo Simulation for Statistical Inference, Model Selection and Decision Making
No voodoo here! Learning discrete graphical models via inverse covariance estimation
Structured Prediction for Natural Language Processing
Learning equivalence classes of directed acyclic latent variable models from multiple datasets with overlapping variables, incl. discussion by Ricardo Silva
Acoustics of Speech and Hearing
Machine Learning for the Web: A Unified View
Sparse Variational Inference for Generalized GP Models