Schulte, Oliver
Professor, School of Computing Science
Contact:
Tel: |
778.782.8826 & 778.782.3390 |
Email: |
oschulte@cs.sfu.ca |
Office: |
ASB 10742 and TASC1 9021 |
Web: www.cs.sfu.ca/~oschulte/ |
Education
Ph.D. Logic and Computation, Carnegie Mellon University, USA, 1997
M.Sc. Logic and Computation, Carnegie Mellon University, USA, 1993
B.Sc. Computing Science, University of Toronto, Canada, 1992
Research interests
- Machine Learning
- Statistical Learning for Relational Databases
- Computational Game Theory
- Computational Logic
Teaching interests
- Database Systems
- Artificial Intelligence
- Computers and Society
Recently taught courses
- CMPT320 Social Implications of a Computerized Society
- CMPT 354 Introduction to Database Management
- CMPT 726 Machine Learning
Selected recent publications
- A tractable pseudo-likelihood function for Bayes Nets Applied to Relational Data. SIAM Conference on Data Mining, 2011.
- Structure Learning for Markov Logic Networks with Many Descriptive Attributes. Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyuan Xu, Bahareh Bina (2010). Proceedings of the Twenty-Fourth Conference on Artificial Intelligence (AAAI), pp.487-493.
- The Imap Hybrid Method for Learning Gaussian Bayes Nets. O. Schulte, G.Frigo, R. Greiner and H. Khosravi (2010). Proceedings of the 23rd Canadian Conference on Artificial Intelligence (CANAI), pp.123--134, Springer LNCS 6085. Best Paper Award.
- Simultaneous Discovery of Conservation Laws and Hidden Particles With Smith Matrix Decomposition . Schulte, O. (2009). Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09), pp. 1481-1487.
- Mind-change optimal learning of Bayes net structure from dependency and independency data. Schulte, O., W. Luo, and R. Greiner (2010). Information and Computation, 208:63-82.
For more information visit www.cs.sfu.ca/~oschulte/pubs.html.
Listing on the DBLP CS Bibliography Server.