Schedule for Spring Quarter 1998

• April 2, 1998. Tubular Neighbors for Regression and Classification. Art B. Owen, Statistics Department, Stanford University

• April 9, 1998. Average Reward Reinforcement Learning. Prasad Tadepalli, Department of Computer Science, Oregon State University

• April 16, 1998. Rotation Invariant Neural Network-Based Face Detection. Shumeet Baluja, Justsystem Pittsburgh Research Center and Carnegie Mellon University.

• April 22, 1998. Modeling Individual Driving Route Preferences from Relative Feedback. Seth Rogers, Daimler-Benz Research & Technology Center.

• April 29, 1998. No talk.

• May 6, 1998. Learning Hierarchical-Decomposition Rules for Planning. Chandra Reddy, Department of Computer Science, Oregon State University, Corvallis.

• May 13, 1998. Making Good Inferences with Missing Information and Very Little Computation. Dan Goldstein, Department of Engineering-Economic Systems & Operations Research, Stanford University.

• May 20, 1998. User Guidance for Performing Knowledge Discovery in Databases. Rudi Studer, Institute AIFB, University of Karlsruhe, Germany (on sabbatical leave with Computer Science Dept., Stanford University).

• May 27, 1998. Innovations in Local Modeling for Time Series Prediction. James McNames, Information Systems Laboratory, Electrical Engineering Department, Stanford University.

• June 3, 1998. Learning to Predict User Operations for Adaptive Scheduling. Melinda Gervasio, Institute for the Study of Learning and Expertise.

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