Pedro Domingos | |
|---|---|
 Domingos in 2023 | |
| 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 Markov logic network |
| 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]
- ^ a b Miguel Ángel García Vega (1 October 2016). ""Hay algoritmos que no controlamos tomando decisiones"" [There are algorithms that we do not control making decisions]. El País (in Spanish). Archived from the original on 5 July 2022.
- ^ "Emeritus Faculty". Paul G. Allen School of Computer Science & Engineering. Retrieved 12 December 2020.
- ^ Scheuermann, Christoph; Zand, Bernhard (16 April 2018). "Pedro Domingos on the Arms Race in Artificial Intelligence". Der Spiegel.
- ^ 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.