Category Learning Professors in Global

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Raymond Mooney
University of Texas at Austin United States of America
ensemble learning
learning recommender systems
machine learning
text categorization clustering
transfer learning
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Samory Kpotufe
Columbia University United States of America
adaptive learning
transfer learning
multi-task learning
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Gonny Schellings
Eindhoven University of Technology Belgium
learning strategies
professional learning
learning environments
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Tamara Van Gog
Utrecht University Netherlands
learning
multimedia learning
example-based learning
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Allison Littlejohn
University College London United Kingdom
professional learning
learning sciences
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Steven Scholte
University of Amsterdam Netherlands
learning mechanisms
deep learning
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Stephen Tu
University of Southern California United States of America
imitation learning
statistical learning theory
online learning
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Rahul Jain
University of Southern California United States of America
reinforcement learning
statistical learning theory
online learning
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Tengyu Ma
Stanford University United States of America
statistical learning theory
online learning
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Rahul Jain
University of Southern California United States of America
reinforcement learning
statistical learning theory
online learning
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Daniel Roy
University of Toronto Canada
machine learning
statistical learning theory
online learning
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Arthur Galamba
King's College London United Kingdom
collaborative learning
hybrid learning
online learning
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Christian Stöhr
Chalmers University of Technology Sweden
digital learning
hybrid learning
online learning
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Safieh Moghaddam
University of Toronto Canada
hybrid learning
online learning
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Ryan Baker
University of Pennsylvania United States of America
adaptive learning
learning analytics
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Steven Pan
National University of Singapore Singapore
learning memory processes
learning sciences
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Daniel Roy
University of Toronto Canada
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machine learning
statistical learning theory
deep learning
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Mehrdad Mahdavi
Pennsylvania State University United States of America
statistical learning theory
deep learning
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Maryam Fazel
University of Washington United States of America
reinforcement learning
machine learning
learning control
deep learning
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Lopamudra Dey
Linköping University Sweden
supervised learning
deep learning
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Maria Gustavsson
Linköping University Sweden
professional learning
workplace learning
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