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Few things that I know & like (they are rather heavy but deep): F. Cucker and S. Smale. On The Mathematical Foundations of Learning. Bulletin of the America
by mitko 16y ago
Few things that I know & like (they are rather heavy but deep):
F. Cucker and S. Smale. On The Mathematical Foundations of Learning. Bulletin of the American Mathematical Society, 2002.
Sutton & McAllum : Conditional random fields for relational learning
Pieter Abiel: apprenticeship learning with a helicopter (inverse reinforcement learning)
You can also add the paper of the team that won the Netflix challenge (collaborative filtering), and something about non-parametric learning (dirichlet processes etc.)
Also check out Lasso regularization (L1 norm) for sparse feature selection.
- snikolov 16y agoThanks, this is all great stuff. I've been meaning to read some of Smale's papers on learning theory. It might be over a lot of people's heads though, since we advertised this is an introduction to basic concepts that one might encounter in a first course in Machine Learning. We are doing two groups of 10. The topics will have to depend on the kinds of people that applied and their interests, but I like the idea of having a beginner group and an advanced group (possibly based on mathematical level).