Spring 2006 - ML Reading Group: Previous Semester Papers
- Jan 20
- Elias Gyrtodimos and Peter A. Flach "Hierarchical Bayesian Networks: An Approach to Classification and Learning for Structured Data"
- Jan 27
- Matthew Brand "Nonrigid Embeddings for Dimensionality Reduction"
- Feb 10
- Lawrence Saul, Kilian Weinburger, Fei Sha, Jihun Ham, Daniel Lee "Spectral Methods for Dimensionality Reduction"
- Feb 17
- Lawrence Saul, Kilian Weinburger, Fei Sha, Jihun Ham, Daniel Lee (continuing) "Spectral Methods for Dimensionality Reduction"
- Feb 24
- Markus Breitenbach & Gregory Grudic (continuing) "Clustering Through Ranking On Manifolds"
- Mar 3
- Cancelled due to CS conference
- Mar 10
- Pierre Comon "Independent component analysis, A new concept?"
- Mar 17
- Continuing... Pierre Comon "Independent component analysis, A new concept?"
- Mar 31
- Cancelled.
- April 7
- David M. Blei, Thomas L. Griffiths, Michael I. Jordan, Joshua B. Tenenbaum "Hierarchical Topic Models and the Nested Chinese Restaurant Process"
- April 14
- Thomas L. Griffiths and Zoubin Ghahramani "Infinite Latent Feature Models and the Indian Buffet Process"
- April 21
- Thomas L. Griffiths and Zoubin Ghahramani "Infinite Latent Feature Models and the Indian Buffet Process"
- April 28
- Nir Friedman, Moises Goldszmidt and Abraham Wyner "Data Analysis with Bayesian Networks: A Bootstrap Approach"
- May 5th
- Martijn van Otterlo "A Survey of Reinforcement Learning in Relational Domains"
