| email: | pedrod (at) cs (dot) washington (dot) edu |
| organization: | Dept. of Computer Science & Engineering, University of Washington, http://www.cs.washington.edu/ |
| phone: | (206) 543-4229 |
| homepage: | http://www.cs.washington.edu/homes/pedrod/ |
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Description
Pedro Domingos is an Associate Professor of Computer Science and Engineering at the University of Washington. His research interests are in artificial intelligence, machine learning and data mining. He received a PhD in Information and Computer Science from the University of California at Irvine, and is the author or co-author of over 100 technical publications. He is a member of the advisory board of JAIR, a member of the editorial board of the Machine Learning journal, and a co-founder of the International Machine Learning Society. He was program co-chair of KDD-2003, and has served on numerous program committees. He has received several awards, including a Sloan Fellowship, an NSF CAREER Award, a Fulbright Scholarship, an IBM Faculty Award, and best paper awards at KDD-98, KDD-99 and PKDD-2005. He has carried out extensive research in the tutorial area, and served on the program committees of the last three SRL workshops (at ICML-2006, ICML-2004 and IJCAI-2003). He has taught several graduate and undergraduate courses in AI and related topics at the University of Washington, including a course in the specific area of the tutorial.
Lectures:
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Large-Scale Learning and Inference: What We Have Learned with Markov Logic Networks
as author at Large Scale Graphical Models, 21 views |
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Panel Discussion
as author at ILP/MLG/SRL collocated International conferences/workshops on learning from relational, graph-based and probabilistic knowledge, together with: Paolo Frasconi, C. David Page Jr., Karsten Michael Borgwardt, Thomas Gärtner, Kristian Kersting, Stephen Muggleton, Luc De Raedt, 65 views |
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Machine Learning for the Web: A Unified View
as author at NIPS ˙08 Workshop: Beyond Search - Computational Intelligence for the Web, 229 views |
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Machine Learning - Discussion
as author at NIPS ˙08 Workshop: Beyond Search - Computational Intelligence for the Web, together with: Raymond J. Mooney, Lilyana Mihalkova, Anton Schwaighofer (moderator), 52 views |
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Inference Complexity as Learning Bias
as author at Carnegie Mellon Machine Learning Lunch seminar, 66 views |
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Markov Logic: A Unifying Language for Information and Knowledge Management
as author at ACM 17th Conference on Information and Knowledge Management, 185 views |
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Extracting Semantic Networks from Text via Relational Clustering
as author at European Conference on Machine Learning (ECML) and Principles and Practice of Knowledge Discovery in Databases (PKDD), together with: Stanley Kok, 161 views |
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Knowledge and Language
as author at Workshops, 70 views |
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Incorporating Prior Knowledge into NLP with Markov Logic
as author at Workshops, 283 views |
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Statistical Modeling of Relational Data
as author at Tutorials, 1188 views |
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Debate
as coauthor at ICML 2007 - The 24th Annual International Conference on Machine Learning, together with: Prasad Tadepalli (coauthor), Bernhard Pfahringer (coauthor), Thomas Dietterich (coauthor), Lise Getoor (coauthor), 193 views |
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Ten problems for the next 10 years
as author at ICML 2007 - The 24th Annual International Conference on Machine Learning, 1572 views |
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ILP Invited Panel - Structured Machine Learning: The Next 10 Years
as coauthor at ICML 2007 - The 24th Annual International Conference on Machine Learning, together with: Thomas Dietterich (coauthor), Lise Getoor (coauthor), Bernhard Pfahringer (coauthor), Stephen Muggleton (coauthor), 770 views |
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Practical Statistical Relational Learning
as author at Tutorials, 1683 views |
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