Combinatorial Pattern Matching Professors in Global

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Sara Wade
University of Edinburgh United Kingdom
machine learning
mixture models
map inference
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Mohsen Moghaddam
Georgia Institute of Technology United States of America
machine learning
computational models
human modeling
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Alan Yuille
Johns Hopkins University United States of America
machine learning
computational models
mathematical models
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Julija Zavadlav
Technical University of Munich Germany
machine learning
predictive computational methods
bayesian modeling
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Magnus Röding
Chalmers University of Technology Sweden
machine learning
statistical modeling
stochastic modeling
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Chunlei Zheng
Boston University United States of America
machine learning
statistical modeling
computational algorithms
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Yang Chen
University of Michigan United States of America
machine learning
bayesian modeling
computational algorithms
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John Quilty
University of Waterloo Canada
ensemble modelling
machine learning
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Sara Wade
University of Edinburgh United Kingdom
machine learning
mixture models
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Sanjeena Dang
Carleton University Canada
machine learning
mixture models
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Adem Aouichaoui
Technical University of Denmark Denmark
machine learning
molecular property prediction
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Michał Koziarski
University of Toronto Canada
machine learning
molecular property prediction
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Anish Agarwal
Columbia University United States of America
machine learning
matching platforms
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Ahmed Zoha
University of Glasgow United Kingdom
machine learning
human behavioral modeling
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Brahim Chaib-draa
Laval University Canada
machine learning
pattern recognition and computer vision
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Sara Shafiee
Technical University of Denmark Denmark
machine learning
computational models
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Joris Mooij
University of Amsterdam Netherlands
machine learning
computational models
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Jan Van Rijn
Leiden University Netherlands
machine learning
computational models
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Sashank Varma
Georgia Institute of Technology United States of America
machine learning
computational models
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Kalikinkar Mandal
University of New Brunswick Canada
machine learning
computational models
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Charilaos Kanatsoulis
Stanford University United States of America
machine learning
computational models
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