Pedro Domingos
organization:Dept. of Computer Science & Engineering, University of Washington, http://www.cs.washington.edu/
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:

tutorial
Practical Statistical Relational Learning

as author at  Tutorials,
1747 views
  lecture
Ten problems for the next 10 years

as author at  ICML 2007 - The 24th Annual International Conference on Machine Learning,
1601 views
tutorial
Statistical Modeling of Relational Data

as author at  Tutorials,
1227 views
  lecture
Large-Scale Learning and Inference: What We Have Learned with Markov Logic Networks

as author at  Large Scale Graphical Models,
44 views
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
  keynote
Markov Logic: A Unifying Language for Information and Knowledge Management

as author at  ACM 17th Conference on Information and Knowledge Management,
297 views
invited talk
Incorporating Prior Knowledge into NLP with Markov Logic

as author at  Workshops,
323 views
  lecture
Machine Learning for the Web: A Unified View

as author at  NIPS ˙08 Workshop: Beyond Search - Computational Intelligence for the Web,
238 views
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
  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
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
  lecture
Inference Complexity as Learning Bias

as author at  Carnegie Mellon Machine Learning Lunch seminar,
67 views
panel
Knowledge and Language

as author at  Workshops,
76 views
  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