The role of sampling assumptions in generalization with multiple categories

Anticipating changes: Adaptation and extrapolation in category learning

Hypothesis generation, the positive test strategy, and sparse categories

Reveals that positive tests are a rational strategy in a world (like ours) where most hypotheses (and categories) are sparse.

Learning time-varying categories

Learning to learn categories

Learnability, representation, and language: A Bayesian approach

Learning overhypotheses