Pedro Domingos

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Pedro Domingos
ResidenceSeattle, WA
Alma materUniversity of California, Irvine (MS, PhD)
Instituto Superior Técnico (MS, Licentiate)
Known forThe Master Algorithm[1]
AwardsSIGKDD Innovation Award (2014)
AAAI Fellowship (2010)
Sloan Fellowship (2003)
Fulbright Scholarship[when?]
Scientific career
FieldsArtificial intelligence
Machine learning
Data science[2]
InstitutionsUniversity of Washington
ThesisA Unified Approach to Concept Learning (1997)
Doctoral advisorDennis F. Kibler
Websitehomes.cs.washington.edu/~pedrod/

Pedro Domingos is Professor at University of Washington.[2] He is a researcher in machine learning and known for markov logic network enabling uncertain inference.[3][4]

Education[edit]

Domingos received an undergraduate degree and Master of Science degree from Instituto Superior Técnico (IST).[5] He moved to the University of California, Irvine, where he received a Master of Science degree and followed by PhD.[5]

Research and career[edit]

After spending two years as an assistant professor at IST, he joined University of Washington in 1999 and now is[when?] a professor. He started working for D.E. Shaw in 2018.[6]

Publications[edit]

Awards and honors[edit]

References[edit]

  1. ^ a b Domingos, Pedro (2015). The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. New York: Basic Books. ISBN 978-0-465-06570-7. OCLC 1039158596.
  2. ^ a b Pedro Domingos publications indexed by Google Scholar Edit this at Wikidata
  3. ^ "Pedro Domingos on the Arms Race in Artificial Intelligence". spiegel.de. Der Spiegel.
  4. ^ Domingos, Pedro; Pazzani, Michael (1997). "On the Optimality of the Simple Bayesian Classifier under Zero-One Loss". Machine Learning. 29 (2/3): 103–130. doi:10.1023/A:1007413511361. ISSN 0885-6125.
  5. ^ a b Domingos, Pedro. "Pedro Domingos". Retrieved 17 November 2018.
  6. ^ https://medium.com/syncedreview/pedro-domingo-will-lead-new-d-e-shaw-machine-learning-group-3c722e41aafc
  7. ^ 2014 SIGKDD Innovation Award: Pedro Domingos
  8. ^ "Elected AAAI Fellows". aaai.org.