Pedro Domingos
| Pedro Domingos | |
|---|---|
| Residence | Seattle, WA |
| Fields |
Artificial intelligence machine learning data science |
| Institutions | University of Washington |
| Alma mater |
University of California, Irvine (PhD 1997, MS 1994) Instituto Superior Técnico (MS 1992;Licentiate 1988) |
| Thesis | A Unified Approach to Concept Learning (1997) |
| Doctoral advisor | Dennis F. Kibler |
| Notable awards |
SIGKDD Innovation Award (2014) AAAI Fellow (2010) Sloan Fellowship (2003) Fulbright Scholarship |
|
Website homes | |
Pedro Domingos is Professor at University of Washington. He is a researcher in machine learning and known for markov logic network enabling uncertain inference.
Biography
Domingos received an undergraduate degree and M.S. from Instituto Superior Técnico (IST). And then at University of California, Irvine, he received an M.S. and Ph.D. After spending two years as an assistant professor at IST, he joined University of Washington in 1999 and now is a professor.
Research
Markov logic network
Main article: Markov logic network
Awards and honors
- 2014. ACM SIGKDD Innovation Award.[1]
- for his foundational research in data stream analysis, cost-sensitive classification, adversarial learning, and Markov logic networks, as well as applications in viral marketing and information integration.
- For significant contributions to the field of machine learning and to the unification of first-order logic and probability.
Selected works
Books
- 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.
Articles
- 2015. (with Abram Friesen). Recursive Decomposition for Nonconvex Optimization. IJCAI 2015 Distinguished Paper Award.
- 2011. (with Hoifung Poon). Sum-Product Networks: A New Deep Architecture. UAI 2011 Best Paper Award..
- 2009. (with Hoifung Poon). Unsupervised Semantic Parsing. EMNLP 2009 Best Paper Award.
- 2005. (with Parag Singla). Object Identification with Attribute-Mediated Dependences. PKDD 2005 Best Paper Award.
- 1999. (with Parag Singla). MetaCost: A General Method for Making Classifiers Cost-Sensitive. SIGKDD 1999 Best Paper Award for Fundamental Research.
- 1998. (with Parag Singla). Occam's Two Razors: The Sharp and the Blunt. SIGKDD 2005 Best Paper Award for Fundamental Research.
References
External links
- Google Scholar, h-index is 73.
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