1. Karen Glocer: Toward Suboptimal Feature Selection [talk] [report]

2. Vera Lychagina: Adaptive Approach to Importance Sampling in Bayesian Networks [talk] [report]

3. Suratna Budalakoti: Anomaly Detection Using Hierarchical Hidden Markov Models [talk] [report]

4. Corrie Scalisi: Visualizing Survey Propagation in 3-SAT Factor Graphs [talk] [report]

5. Qi Zhao: Efficient Belief Propagation for Image Restoration [talk] [report]

6. Shivkumar Shivaji: Learning Bayesian Structure from Heterogenous Data [talk] [report]

7. Steven Scher: Recording a Game of Go, Using a Hidden Markov Model to remove misclassifications [talk without videos] [report] [talk with videos]

8. Dan O'Leary: Examples and Implications of Physics Math in Machine Learning [talk] [report]

9. Ricardo Menchaca-Mendez: Combining weak learners with probabilistic models for binary classification [talk] [report]

10. Charlie Vaske: Structure Learning for Inferring a Biological Pathway [talk] [report]

11. Alex Yakushev: Graphical Belief Networks in Visual Tracking Applications [talk] [report]

12. Foaad Khosmood: Boosting Textual Source Attribution Applications [talk] [report]

13. Peter Towbin: Bayes Nets for Environmental Resource Management Applications [talk] [report]

14. Haward Jie: Using Local Information for Personalized Search [talk] [report]