Kenneth J. Kurtz

Publication Activity (10 Years)

Years Active: 1992-2023
Publications (10 Years): 35

Top Topics

Graph Transduction

Relational Data

Linear Classification

Top Venues

Publications

Keith L. Sherman, Kenneth J. Kurtz
Conceptual Integration and Semantic Relational Processing as Study Tasks to Promote Cued-Recall of Word Pairs. CogSci (2023)
Mercury K. Mason, Kenneth J. Kurtz
Sustaining Relational Preference in a Repeated Relational Match-to-Sample Task in the Absence of Task Support. CogSci (2023)
Alexus S. Longo, Kenneth J. Kurtz
Release from Proactive Interference with Relational Categories Versus Traditional Entity Categories. CogSci (2023)
Josh C. Glass, Mercury K. Mason, Kenneth J. Kurtz
Modeling Human Performance on SHJ Category Structures with a Divergent Autoencoder. CogSci (2023)
Josh C. Glass, Alexus S. Longo, Kenneth J. Kurtz
Alternation as a Relational Category. CogSci (2023)
Josh C. Glass, Kenneth J. Kurtz
Local versus global coherence in the generalization of category training. CogSci (2022)
Mercury K. Mason, Kenneth J. Kurtz
Examining Strategy Differences on the Relational Match-to-Sample Task (RMTS). CogSci (2022)
Alexus S. Longo, Mercury K. Mason, Kenneth J. Kurtz
Investigating the impacts of an immersive learning mode and graded feedback on category learning. CogSci (2022)
Keith L. Sherman, Kenneth J. Kurtz
Paths to Learning in Traditional Artificial Classification Tasks. CogSci (2022)
Mercury K. Mason, Kenneth J. Kurtz
Promoting Relational Responding: The Role of Prior Exposure to the Sample. CogSci (2021)
Daniel Silliman, Kenneth J. Kurtz
Extrapolation Under Caricatured Representations. CogSci (2021)
Sean Snoddy, Kenneth J. Kurtz
Comparison Promotes the Spontaneous Transfer of Relational Categories. CogSci (2021)
Kenneth J. Kurtz, Matthew T. Wetzel
On the Generalization of Simple Alternating Category Structures. Cogn. Sci. 45 (4) (2021)
Mercury Mason, Kenneth J. Kurtz
Promoting relational responding by varying presentation conditions. CogSci (2020)
Sean Snoddy, Kenneth J. Kurtz
Analogical Transfer and Recognition Memory in Relational Classification Learning. CogSci (2020)
Daniel Silliman, Sean Snoddy, Matt Wetzel, Kenneth J. Kurtz
Costly Exceptions: Deviant Exemplars Reduce Category Compression. CogSci (2020)
John D. Patterson, Sean Snoddy, Kenneth J. Kurtz
Family Resemblance in Unsupervised Categorization: A Dissociation Between Production and Evaluation. CogSci (2019)
Kenneth J. Kurtz, Daniel Silliman
Warning: The Exemplars in Your Category Representation May Not Be the Ones Experienced During Learning. CogSci (2019)
Sean Snoddy, Kenneth J. Kurtz
Introducing Recursive Linear Classification (RELIC) for Machine Learning. CogSci (2019)
John D. Patterson, Kenneth J. Kurtz
Semi-supervised Learning with 2D Categories. CogSci (2019)
John D. Patterson, Kenneth J. Kurtz
Semi-supervised learning: A role for similarity in generalization-based learning of relational categories. CogSci (2018)
Dedre Gentner, Nina Simms, Kenneth J. Kurtz, Garrett Honke, Sean Snoddy, Kenneth D. Forbus, Lindsey E. Richland, Bryan J. Matlen, Emily McLaughlin Lyons, Ellen C. Klostermann
Relational Categories: Why they're Important and How they are Learned. CogSci (2018)
Sean Snoddy, Kenneth J. Kurtz
What does a dimension that predicts nothing do to human classification learning? CogSci (2018)
Matt Wetzel, Kenneth J. Kurtz
Human generalization of an alternating category structure. CogSci (2018)
Nolan Conaway, Kenneth J. Kurtz
Solving Nonlinearly Separable Classifications in a Single-Layer Neural Network. Neural Comput. 29 (3) (2017)
John D. Patterson, David Landy, Kenneth J. Kurtz
Relational Concept Learning via Guided Interactive Discovery. CogSci (2017)
Sean Snoddy, Kenneth J. Kurtz
Promoting Spontaneous Analogical Transfer: The Role of Category Status. CogSci (2017)
Kenneth J. Kurtz, Daniel Silliman
Object Understanding: Exploring the Path from Percept to Meaning. CogSci (2017)
Nolan Conaway, Kenneth J. Kurtz
Generalization of within-category feature correlations. CogSci (2016)
Garrett Honke, Nolan Conaway, Kenneth J. Kurtz
Switch it up: Learning Categories via Feature Switching. CogSci (2016)
Daniel Silliman, Kenneth J. Kurtz
Effects of Analogical Processing: Evidence for Re-representation. CogSci (2016)
John D. Patterson, Kenneth J. Kurtz
Performance Pressure and Comparison in Relational Category Learning. CogSci (2016)
Jan Andrews, Kenneth R. Livingston, Calais Larson, Kenneth J. Kurtz
Does Contrast or Comparison Help More? The Role of Learning Mode and Category Type. CogSci (2016)
Sean Snoddy, Kenneth J. Kurtz
The role of higher order relational structure in relational category label extension. CogSci (2016)
Kimery R. Levering, Nolan Conaway, Kenneth J. Kurtz
Linear separability and human category learning: Revisiting a classic study. CogSci (2016)
Nolan Conaway, Kenneth J. Kurtz
Exemplar models can't see the forest for the trees. CogSci (2015)
John D. Patterson, Kenneth J. Kurtz
Learning mode and comparison in relational category learning. CogSci (2015)
Nolan Conaway, Kenneth J. Kurtz
A Dissociation between Categorization and Similarity to Exemplars. CogSci (2015)
Blair C. Armstrong, Maria V. Ruiz-Blondet, Negin Khalifian, Kenneth J. Kurtz, Zhanpeng Jin, Sarah Laszlo
Brainprint: Assessing the uniqueness, collectability, and permanence of a novel method for ERP biometrics. Neurocomputing 166 (2015)
Nolan Conaway, Kenneth J. Kurtz
Now you know it, now you don't: Asking the right question about category knowledge. CogSci (2014)
Andreas D. Pape, Kenneth J. Kurtz, Hiroki Sayama
Complexity Measures and Concept Learning. CoRR (2014)
Kenneth J. Kurtz, Andy Cavagnetto, Garrett Honke, Nolan Conaway, John D. Patterson, James C. Marr, Yan Tao
Optimizing the category construction task to promote learning and transfer of knowledge in classroom instruction. CogSci (2014)
John D. Patterson, Kenneth J. Kurtz
Engaging the comparison engine: Implications for relational category learning and transfer. CogSci (2014)
Maria V. Ruiz-Blondet, Negin Khalifian, Blair C. Armstrong, Zhanpeng Jin, Kenneth J. Kurtz, Sarah Laszlo
Brainprint: Identifying Unique Features of Neural Activity with Machine Learning. CogSci (2014)
Kenneth J. Kurtz, Nuoya Zhang, Tamar Skolnick
Using Relational Encoding to Promote Creative Problem Solving. CogSci (2013)
Andreas D. Pape, Kenneth J. Kurtz
Evaluating case-based decision theory: Predicting empirical patterns of human classification learning. Games Econ. Behav. 82 (2013)
Nolan Conaway, Kenneth J. Kurtz
Models of Human Category Learning: Do they Generalize? CogSci (2013)
Thomas Raway, J. David Schaffer, Kenneth J. Kurtz, Hiroki Sayama
Evolving data sets to highlight the performance differences between machine learning classifiers. GECCO (Companion) (2012)
Kimery R. Levering, Kenneth J. Kurtz
Observational category learning increases sensitivity to prototypical and correlational information. CogSci (2012)
Kimery R. Levering, Kenneth J. Kurtz
Observational Category Learning as a Path to More Robust Generative Knowledge. CogSci (2011)
Graham Silk-Eglit, Kenneth J. Kurtz
Types of Cognitive Content and the Role of Relational Processing in the Illusion of Explanatory Depth. CogSci (2011)
Janet K. Andrews, Kenneth R. Livingston, Kenneth J. Kurtz
Category learning in the context of co-presented items. Cogn. Process. 12 (2) (2011)
Kenneth J. Kurtz, Xavier Oyarzabal
Evaluating the Divergent Auto-Encoder (DIVA) as a Machine Learning Algorithm. CogSci (2011)
Dedre Gentner, Kenneth J. Kurtz
Relations, Objects, and the Composition of Analogies. Cogn. Sci. 30 (4) (2006)
Kenneth J. Kurtz
Re-representation in comparison: building an empirical case. J. Exp. Theor. Artif. Intell. 17 (4) (2005)
Daniel J. Kersten, Heinrich H. Bülthoff, Bennett L. Schwartz, Kenneth J. Kurtz
Interaction between Transparency and Structure from Motion. Neural Comput. 4 (4) (1992)