Computational Molecular Biology and
                      Machine Learning Workshop
                                   
                   Machine Learning Conference 1994

To be held in: Murray 210 (see map at registration for directions)

8:30-8:45   Welcome --  Mick Noordewier

8:45-9:30   Philip Chan
            Toward Learning from Large Molecular Biology Databases

9:30-10:15  George Berg
            A Neural Network-based Machine Learning Approach to
            Reclassifying Local Structure in Globular Protein

10:15-10:45 coffee

10:45-11:30 Leslie Grate
            Determining the Secondary Structure of RNA Families

11:30-12:15 Kimmen Sjolander
            Dirichlet Mixture Priors for Stochastic Context Free
            Grammars and Hidden Markov Models 

12:15-1:15  lunch

1:15-2:00   Brian Kettler
            Case-based Reasoning for Experiment Planning in Molecular
            Biology 

2:00-2:45   Hiroshi Tanaka
            Induction of Molecular Evolutionary Phylogenetic Trees
            Based on Minimum Description Length Principle

2:45-3:30   Steve Norton
            Learning to Recognize Promoters in E. coli by Modelling
            Uncertainty in the Training Data.

3:30-4:00 coffee

4:00-4:45   Andrew A. Reilly
            Optimization Strategies for Pattern Detection in Biological
                                Sequences

4:45-5:00   closing remarks