Learning

Learning

Iterated Phantom Induction: A Little Knowledge Can Go a Long Way
Mark Brodie, Gerald DeJong
665
PDF
SUSTAIN: A Model of Human Category Learning
Bradley C. Love, Douglas L. Medin
671
PDF

Genetic Algorithm Applications

Optimal 2D Model Matching Using a Messy Genetic Algorithm
J. Ross Beveridge
677
PDF
Learning Cooperative Lane Selection Strategies for Highways
David E. Moriarty, Pat Langley
684
PDF

Inductive Learning

Boosting in the Limit: Maximizing the Margin of Learned Ensembles
Adam J. Grove, Dale Schuurmans
692
PDF
Boosting Classifiers Regionally
Richard Maclin
700
PDF
Robust Classification Systems for Imprecise Environments
Foster Provost, Tom Fawcett
706
PDF

Learning about People

Recommendation as Classification: Using Social and Content-Based Information in Recommendation
Chumki Basu, Haym Hirsh, William Cohen
714
PDF
Learning to Predict User Operations for Adaptive Scheduling
Melinda T. Gervasio, Wayne Iba, Pat Langley
721
PDF
Adaptive Web Sites: Automatically Synthesizing Web Pages
Mike Perkowitz, Oren Etzioni
727
PDF

Learning from Sequences

Feature Generation for Sequence Categorization
Daniel Kudenko, Haym Hirsh
733
PDF
Concepts from Time Series
Michael T. Rosenstein, Paul R. Cohen
739
PDF

Reinforcement Learning

The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
Caroline Claus, Craig Boutilier
746
PDF
Applying Online Search Techniques to Continuous-State Reinforcement Learning
Scott Davies, Andrew Y. Ng, Andrew Moore
753
PDF
Bayesian Q-Learning
Richard Dearden, Nir Friedman, Stuart Russell
761
PDF
Tree Based Discretization for Continuous State Space Reinforcement Learning
William R. B. Uther, Manuela M. Veloso
769
PDF