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Michael L. Kalish

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

8

Venues

1

Active years

2011–2025

Best venue rank

B

Where they publish

Papers

8 indexed papers, newest first.

YearVenueTitleAuthors
2025CogSciTraining Methods in Categorization: A Comparison of Classification and Observation on Rule Adoption and Rule Consistency.Yu-Wei Chang, Michael L. Kalish, Daniel Corral
2025CogSciClassification Versus Observation through Within- and Between-Category Comparison.Rachel Lynn Perri, Michael L. Kalish, Daniel Corral
2024CogSciTowards a Unified Model Describing Multiple Tasks: Extending the Retrieving Effectively from Memory Model to Categorization.Sinem Aytac, Yu-Wei Chang, Michael L. Kalish, Daniel Corral
2024CogSciExtending the Locally Bayesian Learning Model to Exemplar-Based Categorization with Continuous Features.Yu-Wei Chang, Sinem Aytac, Cindy G. Mendoza Gonzalez, Michael L. Kalish, Daniel Corral
2023CogSciThe Categorization Task is Insufficient to Distinguish between Strategies: A Case for Partial-XOR-like Tasks.Yu-Wei Chang, Michael L. Kalish
2015CogSciA Bayesian Latent Mixture Approach to Modeling Individual Differences in Categorization Using General Recognition Theory.Irina Danileiko, Michael D. Lee, Michael L. Kalish
2011CogSciGrounding lexical choice in Bayesian inference.Kyle Albarado, Michael L. Kalish
2011CogSciDiscovering Inductive Biases in Categorization through Iterated Learning.Kevin Robert Canini, Thomas L. Griffiths, Wolf Vanpaemel, Michael L. Kalish