Kenneth J. Kurtz

Matthew T. Wetzel

Cogn. Sci., 2021

2020

Analogical Transfer and Recognition Memory in Relational Classification Learning.

[BibT_eX]

[DOI]

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Costly Exceptions: Deviant Exemplars Reduce Category Compression.

[BibT_eX]

[DOI]

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Promoting relational responding by varying presentation conditions.

[BibT_eX]

[DOI]

Mercury Mason

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

Introducing Recursive Linear Classification (RELIC) for Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Family Resemblance in Unsupervised Categorization: A Dissociation Between Production and Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Semi-supervised Learning with 2D Categories.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Warning: The Exemplars in Your Category Representation May Not Be the Ones Experienced During Learning.

[BibT_eX]

[DOI]

Daniel Silliman

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Human generalization of an alternating category structure.

[BibT_eX]

[DOI]

Matt Wetzel

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

What does a dimension that predicts nothing do to human classification learning?

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Semi-supervised learning: A role for similarity in generalization-based learning of relational categories.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Relational Categories: Why they're Important and How they are Learned.

[BibT_eX]

[DOI]

Emily McLaughlin Lyons

Ellen C. Klostermann

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

Solving Nonlinearly Separable Classifications in a Single-Layer Neural Network.

[BibT_eX]

[DOI]

Neural Comput., 2017

Promoting Spontaneous Analogical Transfer: The Role of Category Status.

[BibT_eX]

[DOI]

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Relational Concept Learning via Guided Interactive Discovery.

[BibT_eX]

[DOI]

David Landy

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Object Understanding: Exploring the Path from Percept to Meaning.

[BibT_eX]

[DOI]

Daniel Silliman

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

The role of higher order relational structure in relational category label extension.

[BibT_eX]

[DOI]

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Effects of Analogical Processing: Evidence for Re-representation.

[BibT_eX]

[DOI]

Daniel Silliman

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Performance Pressure and Comparison in Relational Category Learning.

[BibT_eX]

[DOI]

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Linear separability and human category learning: Revisiting a classic study.

[BibT_eX]

[DOI]

Kimery R. Levering

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Switch it up: Learning Categories via Feature Switching.

[BibT_eX]

[DOI]

Garrett Honke

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Generalization of within-category feature correlations.

[BibT_eX]

[DOI]

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Does Contrast or Comparison Help More? The Role of Learning Mode and Category Type.

[BibT_eX]

[DOI]

Jan Andrews

Kenneth R. Livingston

Calais Larson

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015

Brainprint: Assessing the uniqueness, collectability, and permanence of a novel method for ERP biometrics.

[BibT_eX]

[DOI]

Blair C. Armstrong

Maria V. Ruiz-Blondet

Neurocomputing, 2015

Learning mode and comparison in relational category learning.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Exemplar models can't see the forest for the trees.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

A Dissociation between Categorization and Similarity to Exemplars.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014

Complexity Measures and Concept Learning.

[BibT_eX]

[DOI]

Andreas D. Pape

Hiroki Sayama

CoRR, 2014

Brainprint: Identifying Unique Features of Neural Activity with Machine Learning.

[BibT_eX]

[DOI]

Maria V. Ruiz-Blondet

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Engaging the comparison engine: Implications for relational category learning and transfer.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Optimizing the category construction task to promote learning and transfer of knowledge in classroom instruction.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Now you know it, now you don't: Asking the right question about category knowledge.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013

Evaluating case-based decision theory: Predicting empirical patterns of human classification learning.

[BibT_eX]

[DOI]

Andreas D. Pape

Games Econ. Behav., 2013

Using Relational Encoding to Promote Creative Problem Solving.

[BibT_eX]

[DOI]

Nuoya Zhang

Tamar Skolnick

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Models of Human Category Learning: Do they Generalize?

[BibT_eX]

[DOI]

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012

Evolving data sets to highlight the performance differences between machine learning classifiers.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Observational category learning increases sensitivity to prototypical and correlational information.

[BibT_eX]

[DOI]

Kimery R. Levering

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011

Category learning in the context of co-presented items.

[BibT_eX]

[DOI]

Janet K. Andrews

Kenneth R. Livingston

Cogn. Process., 2011

Types of Cognitive Content and the Role of Relational Processing in the Illusion of Explanatory Depth.

[BibT_eX]

[DOI]

Graham Silk-Eglit

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Observational Category Learning as a Path to More Robust Generative Knowledge.

[BibT_eX]

[DOI]

Kimery R. Levering

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Evaluating the Divergent Auto-Encoder (DIVA) as a Machine Learning Algorithm.

[BibT_eX]

[DOI]

Xavier Oyarzabal

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2006

Relations, Objects, and the Composition of Analogies.

[BibT_eX]

[DOI]

Dedre Gentner

Cogn. Sci., 2006

2005

Re-representation in comparison: building an empirical case.

[BibT_eX]

[DOI]

J. Exp. Theor. Artif. Intell., 2005

1992

Interaction between Transparency and Structure from Motion.

[BibT_eX]

[DOI]

Neural Comput., 1992

1991

On the sufficiency of the velocity field for perception of heading.

[BibT_eX]

[DOI]

William H. Warren Jr.

A. W. Blackwell