请输入您要查询的百科知识:

 

词条 Pedro Domingos
释义

  1. Education

  2. Research and career

     Publications  Awards and honors 

  3. References

{{Infobox scientist
| name = Pedro Domingos
| native_name =
| native_name_lang =
| image =
| image_size =
| alt =
| caption =
| birth_date =
| birth_place =
| death_date =
| death_place =
| death_cause =
| resting_place =
| resting_place_coordinates =
| other_names =
| residence = Seattle, WA
| citizenship =
| nationality =
| fields = Artificial intelligence
Machine learning
Data science[1]
| workplaces = University of Washington
| patrons =
| education =
| alma_mater = University of California, Irvine (MS, PhD)
Instituto Superior Técnico (MS, Licentiate)
| thesis_title = A Unified Approach to Concept Learning
| thesis_url = http://homes.cs.washington.edu/~pedrod/papers/phd.pdf
| thesis_year = 1997
| doctoral_advisor = Dennis F. Kibler
| academic_advisors =
| doctoral_students =
| notable_students =
| known_for = The Master Algorithm[2]
| influences =
| influenced =
| awards = SIGKDD Innovation Award (2014)
AAAI Fellowship (2010)
Sloan Fellowship (2003)
Fulbright Scholarship{{when|date=November 2018}}
| spouse =
| partner =
| children =
| signature =
| signature_alt =
| website = {{URL|http://homes.cs.washington.edu/~pedrod/}}
| footnotes =
}}Pedro Domingos is Professor at University of Washington.[1] He is a researcher in machine learning and known for markov logic network enabling uncertain inference.[2][3]

Education

Domingos received an undergraduate degree and Master of Science degree from Instituto Superior Técnico (IST).[4] He moved to the University of California, Irvine, where he received a Master of Science degree and followed by PhD.[4]

Research and career

After spending two years as an assistant professor at IST, he joined University of Washington in 1999 and now is{{when|date=November 2018}} a professor. He started working for D.E. Shaw in 2018.[5]

Publications

  • 2015: The Master Algorithm[6]
  • 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. [https://dslpitt.org/uai/displayArticleDetails.jsp?mmnu=1&smnu=2&article_id=2194&proceeding_id=27 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: MetaCost: A General Method for Making Classifiers Cost-Sensitive. SIGKDD 1999 [https://www.kdd.org/awards/view/1999-sigkdd-best-paper-awards Best Paper Award for Fundamental Research.]
  • 1998: Occam's Two Razors: The Sharp and the Blunt. [https://dl.acm.org/citation.cfm?id=3000299 SIGKDD 1998] [https://www.kdd.org/awards/view/1998-sigkdd-best-paper-awards Best Paper Award for Fundamental Research.]

Awards and honors

  • 2014: ACM SIGKDD Innovation Award.[7] 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.
  • 2010: Elected an Association for the Advancement of Artificial Intelligence (AAAI) Fellow.[8] For significant contributions to the field of machine learning and to the unification of first-order logic and probability.
  • 2003: Sloan Fellowship{{citation needed|date=November 2018}}
  • Fulbright Scholarship{{when|date=November 2018}}

References

1. ^{{Google Scholar id}}
2. ^{{cite web|url=http://www.spiegel.de/international/world/pedro-domingos-on-the-arms-race-in-artificial-intelligence-a-1203132.html|title=Pedro Domingos on the Arms Race in Artificial Intelligence|publisher=Der Spiegel|website=spiegel.de}}
3. ^{{cite journal|last1=Domingos|first1=Pedro|last2=Pazzani|first2=Michael|journal=Machine Learning|volume=29|issue=2/3|year=1997|pages=103–130|issn=0885-6125|doi=10.1023/A:1007413511361|title=On the Optimality of the Simple Bayesian Classifier under Zero-One Loss}}
4. ^{{cite web |last1=Domingos |first1=Pedro |title=Pedro Domingos |url=https://homes.cs.washington.edu/~pedrod/ |accessdate=17 November 2018}}
5. ^https://medium.com/syncedreview/pedro-domingo-will-lead-new-d-e-shaw-machine-learning-group-3c722e41aafc
6. ^{{cite book |last=Domingos |first=Pedro |date=2015 |title=The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World |location= New York |publisher=Basic Books |isbn=978-0-465-06570-7 |oclc=1039158596}}
7. ^2014 SIGKDD Innovation Award: Pedro Domingos
8. ^{{cite web|url=http://www.aaai.org/Awards/fellows-list.php|title=Elected AAAI Fellows|work=aaai.org}}
{{Authority control}}{{DEFAULTSORT:Domingos, Pedro}}

12 : University of Washington faculty|University of California, Irvine alumni|Instituto Superior Técnico alumni|Technical University of Lisbon alumni|Sloan Research Fellows|Fulbright Scholars|Artificial intelligence researchers|Computer scientists|Machine learning researchers|Living people|Fellows of the Association for the Advancement of Artificial Intelligence|Year of birth missing (living people)

随便看

 

开放百科全书收录14589846条英语、德语、日语等多语种百科知识,基本涵盖了大多数领域的百科知识,是一部内容自由、开放的电子版国际百科全书。

 

Copyright © 2023 OENC.NET All Rights Reserved
京ICP备2021023879号 更新时间:2024/11/13 22:56:51