1. Dan Yuan: Understanding Belief Propagation and Its Applications [talk] [report]

2. Shuang Wu: Localization and Map Learning using a Graphical Models Approach [talk] [report]

3. Xiaojin Shi: Markov Random Field Modeling for Image Classification [talk] [report]

4. Graham Grindlay: Entropically Constrained Parameter Estimation for Hidden Markov Models [talk] [report]

5. Jay Kreps: Structure Learning in Directed Graphical Models [report] [presentation]

6. Bernard Suh: Inferring Phylogenetically Conserved Motifs [talk] [report]

7. Dima Kuzmin: Deriving Entropic Updates in Graphical Models - Factor Analysis and Kalman Filtering [talk] [report]

8. Xiaoye Lu: GMM Parameter Estimates [talk] [report]

9. Jun Liao: Learning kernel matrix by matrix exponential update [talk] [report]