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Neyman Pearson Classification
Neyman Pearson Classification Professors in Global
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Professor
Xin Tong
University of Southern California
United States of America
neyman-pearson classification
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Professor
Daniel Bloch
Stanford University
United States of America
non-parametric classification
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Professor
Peter Mueller
University of Texas at Austin
United States of America
nonparametric bayesian inference
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Professor
Jan Johannes
Heidelberg University
Germany
nonparametric bayesian inference
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Professor
Eduard Belitser
Vrije Universiteit Amsterdam
Netherlands
nonparametric bayesian inference
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Professor
Mahmoud Zarepour
University of Ottawa
Canada
nonparametric bayesian inference
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Professor
Robert Stine
University of Pennsylvania
United States of America
pattern recognition classification
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Professor
Sonia Jain
University of California, San Diego
United States of America
nonparametric bayesian models
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Professor
Michele Guindani
University of California, Irvine
United States of America
nonparametric bayesian models
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Professor
Panagiotis Papapetrou
Stockholm University
Sweden
time series classification
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Professor
Tony Bagnall
University of Southampton
United Kingdom
time series classification
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Professor
Guanyu Hu
Michigan State University
United States of America
bayesian nonparametric
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Professor
Dario Spanò
University of Warwick
United Kingdom
bayesian nonparametric statistics
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Professor
John Lau
University of Western Australia
Australia
bayesian nonparametric statistics
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Professor
Dario Spanò
University of Warwick
United Kingdom
bayesian nonparametric statistics
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Professor
Daniel Roy
University of Toronto
Canada
bayesian nonparametric statistics
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Professor
Daniel Roy
University of Toronto
Canada
bayesian nonparametric statistics
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Professor
Antik Chakraborty
Purdue University
United States of America
bayesian nonparametric regression
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Professor
Massimiliano Amarante
Université de Montréal
Canada
neo-bayesian statistics
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Professor
Paulo Serra
Vrije Universiteit Amsterdam
Netherlands
bayesian non-parametrics
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Professor
Shui Feng
McMaster University
Canada
bayesian non-parametrics
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