This meeting will be held partly as a joint meeting with the DIMACS workshop on
Clustering Problems in Biological Networks May 9 - 11, 2006.
The CSNA meeting is co-sponsored by The Institute of Mathematical Statistics.
Active learning of linear separators Sanjoy Dasgupta, UCSD Proximity and Remoteness in Social Networks Pierre Hansen, GERAD, Montreal, Canada Clustering and Machine Learning over Genomic Databases with Underlying (Network or Tree) Structure Casimir Kulikowski, Rutgers University Multi-class protein classification using string kernels and adaptive codes Christina Leslie, Columbia University The Power of the Prior: Improving Predictive Performance with Extra-data Knowledge David Madigan, Rutgers University Identifying and exploiting ultrametricity Fionn Murtagh, University of London Data Mining and Network Models of Massive Datasets Panos Pardalos, University of Florida Unsupervised anomaly detection in computer security Sal Stolfo, Columbia University