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gptkbp:instance_of
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gptkb:Person
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gptkbp:affiliation
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gptkb:Microsoft_Research
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gptkbp:award
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Microsoft Research Outstanding Mentor Award
Best Paper Award at the International Conference on Machine Learning
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gptkbp:birth_place
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gptkb:United_States
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gptkbp:birth_year
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gptkb:1960
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gptkbp:collaborated_with
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gptkb:Eric_Horvitz
gptkb:David_Heckerman
gptkb:Daphne_Koller
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gptkbp:contribution
|
Advancements in machine learning algorithms
Development of Bayesian methods for data analysis
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gptkbp:education
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gptkb:Stanford_University
gptkb:University_of_California,_Los_Angeles
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gptkbp:field
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Computer Science
Statistics
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|
https://www.w3.org/2000/01/rdf-schema#label
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David Heckerman
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gptkbp:influenced_by
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gptkb:Geoffrey_R._Hinton
gptkb:Judea_Pearl
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gptkbp:known_for
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gptkb:Artificial_Intelligence
gptkb:machine_learning
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gptkbp:nationality
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gptkb:American
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gptkbp:occupation
|
gptkb:Author
gptkb:Professor
gptkb:researchers
|
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gptkbp:publication
|
Learning Bayesian Networks
Bayesian Methods for Data Mining and Knowledge Discovery
A Bayesian Approach to the Analysis of Gene Expression Data
The Effect of Prior Knowledge on the Learning of Bayesian Networks
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gptkbp:research_focus
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Bioinformatics
Data Mining
Bayesian Networks
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gptkbp:resides_in
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gptkb:Redmond,_Washington
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gptkbp:website
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http://research.microsoft.com/en-us/people/davidh/
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gptkbp:bfsParent
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gptkb:Judea_Pearl
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gptkbp:bfsLayer
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3
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