Mark A. Pitt

According to our database, Mark A. Pitt authored at least 31 papers between 1996 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

The Scaled Target Learning Model: A Novel Computational Model of the Balloon Analogue Risk Task.

Ran Zhou, Jay I. Myung, Mark A. Pitt

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

Context variability promotes generalization in reading aloud: Insight from a neural network simulation.

Ian Miller, Nicolas Dumay, Mark A. Pitt, Brian Lam, Blair C. Armstrong

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

Machine Learning Optimizes Assessment: New Insights for the Development of Numerosity Estimation.

Sang Ho Lee, Dan Kim, John Opfer, Mark A. Pitt, Jay I. Myung

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

2019

Optimizing the Design of an Experiment using the ADOpy Package: An Introduction and Tutorial.

Jay I. Myung, Mark A. Pitt, Jaeyeong Yang, Woo-Young Ahn

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

Active Learning for a Number-Line Task with Two Design Variables.

Sang Ho Lee, Dan Kim, John Opfer, Mark A. Pitt, Jay I. Myung

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

Modeling Delay Discounting using Gaussian Process with Active Learning.

Jorge Chang, Jiseob Kim, Byoung-Tak Zhang, Mark A. Pitt, Jay I. Myung

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

2018

Assessing the Validity of Three Tasks of Risk-Taking Propensity: Behavioral Measure and Computational Modeling.

Ran Zhou, Jay I. Myung, Carol Mathews, Mark A. Pitt

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

The effect of expertise on auditory categorization: a domain-specific or domain-general mechanism?

Marjorie Freggens, Mark A. Pitt

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

2017

Planning Beyond the Next Trial in Adaptive Experiments: A Dynamic Programming Approach.

Woojae Kim, Mark A. Pitt, Zhong-Lin Lu, Jay I. Myung

Cogn. Sci., 2017

2015

Rate-dependent speech processing can be speech-specific: Evidence from the disappearance of words under changes in context speech rate.

Laura Dilley, Mark A. Pitt, Christine Szostak, Melissa Michaud Baese-Berk

Proceedings of the 18th International Congress of Phonetic Sciences, 2015

Workshop on Optimizing Experimental Designs: Theory, Practice, and Applications.

Jay I. Myung, Mark A. Pitt, Maarten Speekenbrink

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

2014

A Hierarchical Adaptive Approach to Optimal Experimental Design.

Woojae Kim, Mark A. Pitt, Zhong-Lin Lu, Mark Steyvers, Jay I. Myung

Neural Comput., 2014

A Hierarchical Adaptive Approach to the Optimal Design of Experiments.

Woojae Kim, Mark A. Pitt, Zhong-Lin Lu, Mark Steyvers, Hairong Gu, Jay I. Myung

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

2013

What Should Be the Data Sharing Policy of Cognitive Science?

Mark A. Pitt, Yun Tang

Top. Cogn. Sci., 2013

Optimal Decision Stimuli for Risky Choice Experiments: An Adaptive Approach.

Daniel R. Cavagnaro, Richard Gonzalez, Jay I. Myung, Mark A. Pitt

Manag. Sci., 2013

Adaptive Estimation of Psychometric Slope and Threshold with Differential Evolution.

Hairong Gu, Jay I. Myung, Mark A. Pitt, Zhong-Lin Lu

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

2011

Exploring the role of exposure frequency in recognizing pronunciation variants.

Mark A. Pitt, Laura Dilley, Michael Tat

J. Phonetics, 2011

The use of lexical and duration information in segmenting speech with unclear word boundaries.

Colin Widmer, Dahee Kim, Christine Szostak, Mark A. Pitt

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

Tutorial on Model Comparison Methods.

Jay I. Myung, Mark A. Pitt

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

2010

Adaptive Design Optimization: A Mutual Information-Based Approach to Model Discrimination in Cognitive Science.

Daniel R. Cavagnaro, Jay I. Myung, Mark A. Pitt, Janne V. Kujala

Neural Comput., 2010

2009

Adaptive Design Optimization in Experiments with People.

Daniel R. Cavagnaro, Mark A. Pitt, Jay I. Myung

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008

Measuring Model Flexibility With Parameter Space Partitioning: An Introduction and Application Example.

Mark A. Pitt, Jay I. Myung, Maximiliano Montenegro, James Pooley

Cogn. Sci., 2008

2007

The buckeye corpus of speech: updates and enhancements.

Eric Fosler-Lussier, Laura Dilley, Na'im R. Tyson, Mark A. Pitt

Proceedings of the INTERSPEECH 2007, 2007

2005

The Buckeye corpus of conversational speech: labeling conventions and a test of transcriber reliability.

Mark A. Pitt, Keith Johnson, Elizabeth Hume, Scott F. Kiesling, William D. Raymond

Speech Commun., 2005

Model selection in cognitive science as an inverse problem.

Jay I. Myung, Mark A. Pitt, Daniel J. Navarro

Proceedings of the Computational Imaging III, San Jose, 2005

2004

Model Comparison Methods.

Jay I. Myung, Mark A. Pitt

Proceedings of the Numerical Computer Methods, Part D, 2004

2003

An MCMC-Based Method of Comparing Connectionist Models in Cognitive Science.

Woojae Kim, Daniel J. Navarro, Mark A. Pitt, In Jae Myung

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002

An analysis of transcription consistency in spontaneous speech from the buckeye corpus.

William D. Raymond, Mark A. Pitt, Keith Johnson, Elizabeth Hume, Matthew J. Makashay, Robin Dautricourt, Craig Hilts

Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

2000

Counting probability distributions: Differential geometry and model selection.

In Jae Myung, Vijay Balasubramanian, Mark A. Pitt

Proc. Natl. Acad. Sci. USA, 2000

The Use of MDL to Select among Computational Models of Cognition.

In Jae Myung, Mark A. Pitt, Shaobo Zhang, Vijay Balasubramanian

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1996

Transitional probability and phoneme monitoring.

James M. McQueen, Mark A. Pitt

Proceedings of the 4th International Conference on Spoken Language Processing, 1996