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.
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tutorial
Practical Statistical Relational Learning
as author at Tutorials,
1747 views
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lecture
Ten problems for the next 10 years
as author at ICML 2007 - The 24th Annual International Conference on Machine Learning,
1601 views
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tutorial
Statistical Modeling of Relational Data
as author at Tutorials,
1227 views
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lecture
Large-Scale Learning and Inference: What We Have Learned with Markov Logic Networks
as author at Large Scale Graphical Models,
44 views
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lecture
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),
781 views
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keynote
Markov Logic: A Unifying Language for Information and Knowledge Management
as author at ACM 17th Conference on Information and Knowledge Management,
297 views
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invited talk
Incorporating Prior Knowledge into NLP with Markov Logic
as author at Workshops,
323 views
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lecture
Machine Learning for the Web: A Unified View
as author at NIPS ˙08 Workshop: Beyond Search - Computational Intelligence for the Web,
238 views
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panel
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,
70 views
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lecture
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,
174 views
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lecture
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),
197 views
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lecture
Inference Complexity as Learning Bias
as author at Carnegie Mellon Machine Learning Lunch seminar,
67 views
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panel
Knowledge and Language
as author at Workshops,
76 views
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panel
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),
53 views
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