Introduction to Machine Learning
Dimensionality Reduction
Learning in Computer Vision
Sinuhe - Statistical Machine Translation with a Globally Trained Conditional Exponential Family Translation Model
Similarity-Based Classifiers: Problems and Solutions
Nonlinear Adaptive Distance Metric Learning for Clustering
Lecture 6: Least-Squares
Spectral Dimensionality Reduction via Maximum Entropy, incl. discussion by Laurens van der Maaten
Sparse Methods for Machine Learning: Theory and Algorithms
Geometric Methods and Manifold Learning