Michael I. Jordan

E437505

Michael I. Jordan is a prominent American computer scientist and statistician known for his foundational contributions to machine learning, probabilistic graphical models, and artificial intelligence.

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Michael I. Jordan canonical 6

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Statements (49)

Predicate Object
instanceOf academic
computer scientist
human
statistician
awardReceived ACM/AAAI Allen Newell Award
ASA Medallion Lecture
linked to: Medallion Lectures

David E. Rumelhart Prize
IEEE John von Neumann Medal
IMS Medallion Lecture
linked to: Medallion Lectures

NIPS Test of Time Award
countryOfCitizenship United States of America
doctoralAdvisor David Rumelhart
linked to: David E. Rumelhart
educatedAt Arizona State University
Louisiana State University
University of California, San Diego
employer University of California, Berkeley
familyName Jordan
fieldOfWork Bayesian statistics
artificial intelligence
machine learning
optimization
probabilistic graphical models
statistical learning theory
statistics
givenName Michael
hasAcademicDiscipline electrical engineering and computer sciences
influenced machine learning research community
influencedBy David Rumelhart
linked to: David E. Rumelhart
memberOf American Academy of Arts and Sciences
American Statistical Association
Association for Computing Machinery
Institute of Mathematical Statistics
National Academy of Engineering
National Academy of Sciences
name Michael I. Jordan
notableFor foundational contributions to artificial intelligence
foundational contributions to machine learning
foundational contributions to probabilistic graphical models
notableWork Bayesian nonparametrics
foundational work on probabilistic graphical models
hierarchical Dirichlet processes
mixture of experts model
variational inference in graphical models
work on scalable machine learning algorithms
occupation professor
positionHeld Professor of Electrical Engineering and Computer Sciences at UC Berkeley
Professor of Statistics at UC Berkeley
sexOrGender male
workLocation Berkeley, California

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Referenced by (6)

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