Sean Snoddy

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 10

Top Topics

Relational Models

Text Compression

Machine Learning

Top Venues

Publications

Sean Snoddy, Kenneth J. Kurtz
Comparison Promotes the Spontaneous Transfer of Relational Categories. CogSci (2021)
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)
Sean Snoddy, Kenneth J. Kurtz
Introducing Recursive Linear Classification (RELIC) for Machine Learning. CogSci (2019)
Sean Snoddy, Joseph Wilson, Daniel Silliman, Kenneth Houghton, Deanne Westerman
It's Alive! Animate Sources Produce Mnemonic Benefits. CogSci (2019)
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)
Sean Snoddy, Kenneth J. Kurtz
Promoting Spontaneous Analogical Transfer: The Role of Category Status. CogSci (2017)
Sean Snoddy, Kenneth J. Kurtz
The role of higher order relational structure in relational category label extension. CogSci (2016)