Mark A. Pitt

发表

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

Matthew J. Makashay, William D. Raymond, Mark A. Pitt, 2002, INTERSPEECH.

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

Mark A. Pitt, Jay I. Myung, Maximiliano Montenegro, 2008, Cogn. Sci..

A large-sample study for evaluating the precision of the quick CSF method

Mark A. Pitt, Luis A. Lesmes, Zhong-Lin Lu, 2015 .

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

Mark A. Pitt, Jay I. Myung, Woo-Young Ahn, 2019, CogSci.

Rapid, precise, and reliable measurement of delay discounting using a Bayesian learning algorithm

Mark A. Pitt, Jay I. Myung, Hairong Gu, 2020, Scientific Reports.

Better data with fewer participants and trials: improving experiment efficiency with adaptive design optimization

Mark A. Pitt, Jay I. Myung, Yun Tang, 2009 .

When cues combine: How distal and proximal acoustic cues are integrated in word segmentation

Mark A. Pitt, Laura C. Dilley, J. Devin McAuley, 2013 .

Optimal Decision Stimuli for Risky Choice Experiments: An Adaptive Approach

Mark A. Pitt, Jay I. Myung, Richard Gonzalez, 2013, Manag. Sci..

Adaptive Design Optimization in Experiments with People

Mark A. Pitt, Jay I. Myung, Daniel R. Cavagnaro, 2009, NIPS.

A Hierarchical Adaptive Approach to Optimal Experimental Design

Mark A. Pitt, Jay I. Myung, Mark Steyvers, 2014, Neural Computation.

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

Mark A. Pitt, Jay I. Myung, Woojae Kim, 2017, Cogn. Sci..

What Should Be the Data Sharing Policy of Cognitive Science?

Mark A. Pitt, Yun Tang, M. Pitt, 2013, Top. Cogn. Sci..

A Hierarchical Adaptive Approach to the Optimal Design of Experiments

Mark A. Pitt, Jay I. Myung, Mark Steyvers, 2014, CogSci.

Interpreting speech in context.

Mark A. Pitt, 2010 .

Advances in Minimum Description Length: Theory and Applications

Mark A. Pitt, Peter Grünwald, I. J. Myung, 2005 .

Modeling Delay Discounting using Gaussian Process with Active Learning

Byoung-Tak Zhang, Mark A. Pitt, Jay I. Myung, 2019, CogSci.

“a door” or “adore”? Word Segmentation in Semi-Spontaneous Speech

Mark A. Pitt, Dahee Kim, Anouschka Bergmann, 2008 .

Rapid, precise, and reliable measurement of delay discounting using a Bayesian learning algorithm

Mark A. Pitt, Jay I. Myung, Woo-Young Ahn, 2019, Scientific Reports.

Adaptive Estimation of Psychometric Slope and Threshold with Differential Evolution

Mark A. Pitt, Jay I. Myung, Zhong-Lin Lu, 2013, CogSci.

The Use of MDL to Select among Computational Models of Cognition

Mark A. Pitt, Shaobo Zhang, Vijay Balasubramanian, 2000, NIPS.

Global Model Analysis by Landscaping

Mark A. Pitt, Daniel J. Navarro, Woojae Kim, 2003 .

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

Mark A. Pitt, Marjorie Freggens, 2018, CogSci.

Model Evaluation and Selection

Mark A. Pitt, Ehtibar N. Dzhafarov, Hans Colonius, 2014 .

Transitional probability and phoneme monitoring

Mark A. Pitt, James M. McQueen, M. Pitt, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Mark A. Pitt, Edward C. Carterette, Donald V. Kohl, 1986 .

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

Sang Ho Lee, Mark A. Pitt, Jay I. Myung, 2019, CogSci.

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

William D. Raymond, Mark A. Pitt, Keith Johnson, 2005, Speech Commun..

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

Mark A. Pitt, Jay I. Myung, Maarten Speekenbrink, 2015, CogSci.

Exploring the role of exposure frequency in recognizing pronunciation variants

Mark A. Pitt, Laura C. Dilley, Laura Dilley, 2011, J. Phonetics.

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

Mark A. Pitt, Dahee Kim, Christine Szostak, 2011, CogSci.

Robust Modeling Through Design Optimization

Mark A. Pitt, Jay I. Myung, 2019 .

Model Evaluation, Testing and Selection

Mark A. Pitt, Woojae Kim, Jae I. Myung, 2005 .

Toward a method of selecting among computational models of cognition.

Mark A. Pitt, In Jae Myung, Shaobo Zhang, 2002 .

The buckeye corpus of speech: updates and enhancements

Mark A. Pitt, Eric Fosler-Lussier, Na'im R. Tyson, 2007, INTERSPEECH.

Efficient Closed-loop Maximization of Carbon Nanotube Growth Rate using Bayesian Optimization

Mark A. Pitt, Jay I. Myung, Benji Maruyama, 2020, Scientific Reports.

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

Mark A. Pitt, Janne V. Kujala, Jay I. Myung, 2010, Neural Computation.

Revisiting Neil Armstrongs Moon-Landing Quote: Implications for Speech Perception, Function Word Reduction, and Acoustic Ambiguity

Mark A. Pitt, Laura C. Dilley, Stephanie Schmidt, 2016, PloS one.

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

Mark A. Pitt, Ran Zhou, Jay I. Myung, 2021, CogSci.

Hierarchical Bayesian adaptive estimation of the contrast sensitivity function: Part II -- effect of type of prior

Mark A. Pitt, Zhong-Lin Lu, Fang Hou, 2015 .

Tutorial on Model Comparison Methods

Mark A. Pitt, Jay I. Myung, M. Pitt, 2011, CogSci.

Measuring the flexibility of localist connectionist models of speech perception

Mark A. Pitt, Jay I. Myung, Maximiliano Montenegro, 2008 .

Issues in selecting mathematical models of cognition.

Mark A. Pitt, I. J. Myung, In Jae Myung, 1998 .

Model selection in cognitive science as an inverse problem

Mark A. Pitt, Jay I. Myung, Daniel J. Navarro, 2005, IS&T/SPIE Electronic Imaging.

A Self-Learning Fuzzy Classifier with Feature Selection for Intelligent interrogation of mid-IR spectroscopy data from exfoliative cervical cytology using selflearning classifier eClass.

Plamen Angelov, Mark A. Pitt, Jemma G. Kelly, 2008 .

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

Mark A. Pitt, Daniel J. Navarro, Woojae Kim, 2003, NIPS.

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

Mark A. Pitt, Melissa Baese-Berk, Christine Szostak, 2015, ICPhS.

Phonological and Morphological Influences in the Syllabification of Spoken Words

Mark A. Pitt, M. Pitt, Katherine L. Smith, 1999 .

One small step for (a) man: Function word reduction and acoustic ambiguity

Mark A. Pitt, Melissa M. Baese-Berk, Laura C. Dilley, 2013 .

A biospectroscopic interrogation of fine needle aspirates points towards segregation between graded categories: an initial study towards diagnostic screening

Mark A. Pitt, Jemma G. Kelly, Pierre L. Martin-Hirsch, 2011, Analytical and bioanalytical chemistry.

The source of a lexical bias in the Verbal Transformation Effect

Mark A. Pitt, Lisa Shoaf, Lisa Shoaf, 2001 .

Evaluating the performance of the quick CSF method in detecting contrast sensitivity function changes

Mark A. Pitt, Jay I. Myung, Woojae Kim, 2016, Journal of vision.

The locus of the lexical shift in phoneme identification.

Mark A. Pitt, 1995 .

Cognitive Modeling Repository

Mark A. Pitt, Jay Myung, 2010 .

FTIR Microspectroscopy Coupled with Two-Class Discrimination Segregates Markers Responsible for Inter- and Intra-Category Variance in Exfoliative Cervical Cytology

Mark A. Pitt, Michael J. Walsh, Hubert M. Pollock, 2008, Biomarker insights.

Using pronunciation data as a starting point in modeling word recognition

Mark A. Pitt, Keith Johnson, M. Pitt, 2003 .

An introduction to the Buckeye corpus of conversational speech

Matthew J. Makashay, William D. Raymond, Mark A. Pitt, 2001 .

Generalization From Newly Learned Words Reveals Structural Properties of the Human Reading System

Mark A. Pitt, Woojae Kim, Blair C. Armstrong, 2017, Journal of experimental psychology. General.

Linking Verbal Transformations to Their Causes

Mark A. Pitt, M. Pitt, Lisa Shoaf, 2002 .

Intelligent interrogation of mid-IR spectroscopy data from exfoliative cervical cytology using self-learning classifier eClass

Plamen Angelov, Mark A. Pitt, Plamen Angelov, 2008 .