Proceedings of the Annual Meeting of the Cognitive Science Society

This paper examines the naive Bayesian model and extensions of it to account for the effects of base rate neglect and inverse base rates. These are human categorization phenomena in which base rate information appears to be ignored. The naive Bayesian classifier accounts for a subset of the phenomena observed in base rate experiments. An extension to the model is examined that uses structure in the data sets resulting from features shared between categories.