Andrew Perfors
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Cross-situational learning in a Zipfian environment
Modeling individual performance in cross-situational word learning
Do additional features help or hurt category learning? The curse of dimensionality in human learners
Sample size, number of categories and sampling assumptions: Exploring some differences between categorization and generalization
Quantifying sentence acceptability measures: Reliability, bias, and variability
Representational and sampling assumptions drive individual differences in single category generalisation
When do learned transformations influence similarity and categorization?
Sensitivity to hypothesis size during information search
Do additional features help or harm during category learning? An exploration of the curse of dimensionality in human learners
Adaptive information source selection during hypothesis testing
People are sensitive to hypothesis sparsity during category discrimination
The role of sampling assumptions in generalization with multiple categories
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