Our summer session will focus on model-based clustering and applications. There will be about 8 "long" talks (sessions of about 80 minutes) and about 8 short talks (15 minutes each, plus some discussion). There will be several visitors, and there has been quite a bit of progress to report, so it should be exciting. Watch this space for details as they become known.
| Day (Chair) | Time | Speaker | Topic |
|---|---|---|---|
| Monday (Adrian) | 9:00-10:20am | Gilles Celeux, INRIA, France | Bayes Factors for Mixtures Using the Classification Likelihood |
| 10:40am-Noon | Christian Posse, University of Minnesota and Talaria, Inc. | Hierarchical Model-Based Clustering For Large Datasets | |
| Tuesday (Christian) | 9:00-10:00am | Chris Fraley, University of Washington and Mathsoft, Inc. | The New MCLUST and EMCLUST |
| 10:15-11:15am | Adrian Raftery, University of Washington | Beyond BIC: Prior Specification in Bayesian Model Selection, with Application to Mixture Models | |
| 11:20-11:40am | David Heckerman and Marina Meila, Microsoft Research | An Experimental Comparison of Several Clustering and Initialization Methods | |
| 11:40am-Noon | Naisyin Wang, Texas A&M University | A Note About Imputation Estimators | |
| Wednesday (Gilles) | 9:00-10:20am | Chris Meek and Bo Thiesson, Microsoft Research | Learning Mixtures of DAG Models |
| 10:40-11:00am | David Poole, University of Washington | Inference for deterministic models: Bayesian synthesis with backwards full pooling | |
| 11:00-11:20am | Samantha Bates, University of Washington | Assessing uncertainty and variability in environmental risk assessment models | |
| 11:20-11:40am | Simon Byers, University of Washington | Clusterwise regression via mixture models, with application to scatter eliminating in PET imaging machines | |
| 11:40am-Noon | Derek Stanford, University of Washington | Fast Unsupervised Automatic Image Segmentation with An Unknown Number of Components | |
| Thursday (Chris F.) | 9:00-10:20am | Fionn Murtagh, University of Ulster | Overcoming the Curse of Dimensionality in Clustering by Means of the Wavelet Transform |
| 10:40am-Noon | Usama Fayyad, Microsoft Research | Scaling Clustering Algorithms to Very Large Databases | |
| Friday (Fionn) | 9:00-10:20am | Florence Forbes, INRIA, France | The Mean Field Theory Approach to Image Segmentation |
| 10:40am-Noon | Danny Walsh, University of Washington | Detecting Minefields and Other Features in Spatial Point Processes via Simulation-Based Methods |
Click here to return to the Model-Based Clustering Working Group homepage.
Click here to go to Adrian Raftery's home page.
Click here to return to the Statistics Dept. home page.
Click here to return to the University of Washington home page.