Working Group on Model-based Clustering and Applications
Summer session: July 27-31, 1998

Monday-Friday (five days) from 9:00am to noon, in room C-301, Padelford Hall, University of Washington Campus.

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.

Working Group: Monday-Friday, July 27-31, 1998
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

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