Spring 2005 - ML Reading Group: Previous Semester Papers
- Jan 21
- T. Jaakkola, M. Meila, and T. Jebara. Continuing "Maximum entropy discrimination"
- Jan 28
- Prem Melville, Raymond J. Mooney, and Ramadass Nagarajan "Content-Boosted Collaborative Filtering for Improved Recommendations"
- Feb 4
- Adam Milstein, Javier Nicolas Sanchez, Evan Tang Williamson "Robust Global Localization Using Clustered Particle Filtering"
- Feb 11
- Continuing.... Adam Milstein, Javier Nicolas Sanchez, Evan Tang Williamson "Robust Global Localization Using Clustered Particle Filtering"
- Feb 18
- Dengyong Zhou, Bernhard Scholkopf "A Regularization Framework for Learning from Graph Data"
- Feb 25
- Bob Price, Craig Boutilier "A Bayesian Approach to Imitation in Reinforcement Learning"
- Mar 11
- Jeff A. Bilmes "Dynamic Bayesian Multinets"
- Mar 18
- Jeff A. Bilmes "(continued) Dynamic Bayesian Multinets"
- Mar 25
- Jeff A. Bilmes "(continued) Dynamic Bayesian Multinets"
- Apr 1
- Bertrand, C., Ohmi, M., Suzuki, R., Kado, H. "A probabilistic solution to the MEG inverse problem via MCMC methods: the reversible jump and parallel tempering algorithms"
- Apr 8
- Oliver Cappe and Christian P. Robert "Markov Chain Monte Carlo: 10 Years and Still Running" "(supplemental) Particle Filter Paper" "(supplemental) Simulated Annealing Paper"
- Apr 15
- Cancelled due to lack of attendees
- Apr 22
- N. Friedman "The Bayesian Structural EM Algorithm"
- Apr 29
- (continued) N. Friedman "The Bayesian Structural EM Algorithm"
- May 06
- (continued) N. Friedman "The Bayesian Structural EM Algorithm"
- May 20
- Bernhard E. Boser, Isabelle M. Guyon, Vladimir N. Vapnik "A training algorithm for optimal margin classifiers"
