Machine learning for cognitive science 3: Kernel methods and Bayesian methods
Machine learning for cognitive science 2: Bayesian methods and statistical learning theory
Topics in Statistics: Statistical Learning Theory
Mathematics for Computer Science
Linear Algebra and Machine Learning of Large Informatics Graphs
Matching pursuit algorithms in machine learning
Mathematics of Machine Learning
Computer Vision
Sharp analysis of low-rank kernel matrix approximations
From Trees to Forests and Rule Sets - A Unified Overview of Ensemble Methods