Will Bridewell, Ph.D.

Affiliations: 
2004 University of Pittsburgh, Pittsburgh, PA, United States 
Area:
Computer Science, Artificial Intelligence
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"Will Bridewell"

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Bruce Gardner Buchanan grad student 1998-2004 University of Pittsburgh
 (Science as an anomaly-driven enterprise: A computational approach to generating acceptable theory revisions in the face of anomalous data.)
Milos Hauskrecht grad student 1998-2004 University of Pittsburgh
 (Science as an anomaly-driven enterprise: A computational approach to generating acceptable theory revisions in the face of anomalous data.)
Pat Langley research scientist 2004-2009 Stanford
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Publications

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Lovett A, Bridewell W, Bello P. (2019) Selection enables enhancement: An integrated model of object tracking. Journal of Vision. 19: 23
Lovett A, Bridewell W, Bello P. (2019) Selection and Enhancement: Modeling Attentional Capture during Visual Search Journal of Vision. 19: 131b
Todorovski L, Bridewell W, Langley P. (2012) Discovering constraints for inductive process modeling Proceedings of the National Conference On Artificial Intelligence. 1: 256-262
Langley P, Bridewell W. (2011) Combining data-driven and knowledge-guided methods to induce interpretable physiological models Aaai Spring Symposium - Technical Report. 32-36
Bridewell W, Langley P. (2010) Two kinds of knowledge in scientific discovery. Topics in Cognitive Science. 2: 36-52
Ashley KD, Bridewell W. (2010) Emerging AI & Law approaches to automating analysis and retrieval of electronically stored information in discovery proceedings Artificial Intelligence and Law. 18: 311-320
Park C, Bridewell W, Langley P. (2010) Integrated systems for inducing spatio-temporal process models Proceedings of the National Conference On Artificial Intelligence. 3: 1555-1560
Bridewell W, Borrett SR, Langley P. (2009) Supporting Innovative Construction of Explanatory Scientific Models Tools For Innovation
Bridewell W, Langley P, Todorovski L, et al. (2008) Inductive process modeling Machine Learning. 71: 1-32
Bridewell W, Todorovski L. (2008) Learning declarative bias Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4894: 63-77
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