Pedro Domingos | |
---|---|
Born | 1965 (age 58–59) [1] |
Alma mater | University of California, Irvine (MS, PhD) Instituto Superior Técnico - University of Lisbon (MS, Licentiate) |
Known for | The Master Algorithm |
Awards | SIGKDD Innovation Award (2014) AAAI Fellowship (2010) Sloan Fellowship (2003) Fulbright Scholarship (1992-1997) |
Scientific career | |
Fields | Artificial intelligence Machine learning Data science |
Institutions | University of Washington |
Thesis | A Unified Approach to Concept Learning (1997) |
Doctoral advisor | Dennis F. Kibler |
Doctoral students | Tessa Lau |
Website | homes |
Pedro Domingos (born 1965) is a Professor Emeritus [2] of computer science and engineering at the University of Washington. He is a researcher in machine learning known for Markov logic network enabling uncertain inference. [3] [4]
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 followed by his PhD. [5]
After spending two years as an assistant professor at IST, he joined the University of Washington as an Assistant Professor of Computer Science and Engineering in 1999 and became a full professor in 2012. [6] He started a machine learning research group at the hedge fund D. E. Shaw & Co. in 2018, [7] but left in 2019. [8]
He co-founded the International Machine Learning Society. As of 2018, he was on the editorial board of Machine Learning journal. [9]
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A Markov logic network (MLN) is a probabilistic logic which applies the ideas of a Markov network to first-order logic, defining probability distributions on possible worlds on any given domain.
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