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| topics: |
BN | HM | LGM | MN | RPM |
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2009
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| B |
D. Koller and N. Friedman (2009). Probabilistic Graphical Models: Principles and Techniques. edited by . MIT Press. | bib
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BN |
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LGM |
MN |
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2007
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| Ch |
D. Koller, N. Friedman, L. Getoor, and B. Taskar (2007). "Graphical Models in a Nutshell." In L. Getoor and B. Taskar, editors, Introduction to Statistical Relational Learning.
| bib
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| topics: |
BN |
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MN |
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2005
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| C |
M. Teyssier and D. Koller (2005). "Ordering-based Search: A Simple and Effective Algorithm for Learning Bayesian Networks." Proceedings of the Twenty-first Conference on Uncertainty in AI (UAI) (pp. 584-590).
| bib/abs
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2003
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| J |
N. Friedman and D. Koller (2003). "Being Bayesian about Bayesian Network Structure:A Bayesian Approach to Structure Discovery in Bayesian Networks.." Machine Learning, 50(1--2), 95-125.
Full version of UAI 2000 paper.
[older version, 2000] | bib/abs
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BN |
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LGM |
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2001
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| C |
U. Lerner, E. Segal, and D. Koller (2001). "Exact Inference in Networks with Discrete Children of Continuous Parents." Seventeenth Annual Conference on Uncertainty in Artificial Intelligence (UAI).
| bib/abs
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| topics: |
BN |
HM |
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2000
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| C |
G. Elidan, N. Lotner, N. Friedman, and D. Koller (2000). "Discovering hidden variables: A structure-based approach." Advances in Neural Information Processing Systems (NIPS 2000).
| bib/abs
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| topics: |
BN |
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LGM |
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| C |
N. Friedman and D. Koller (2000). "Being Bayesian about Bayesian Network Structure:A Bayesian Approach to Structure Discovery in Bayesian Networks.." Proceedings of the 16th Annual Conference on Uncertainty in AI (UAI) (pp. 201-210).
[newer version, 2003] | bib/abs
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| topics: |
BN |
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LGM |
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1997
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| J |
J. Binder, D. Koller, S.J. Russell, and K. Kanazawa (1997). "Adaptive probabilistic networks with hidden variables." Machine Learning, 29(2--3), 213-244.
Full version of IJCAI '95 paper.
| bib/abs
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| topics: |
BN |
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LGM |
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| C |
E. Bauer, D. Koller, and Y. Singer (1997). "Update rules for parameter estimation in Bayesian networks." Proc. Thirteenth Annual Conference on Uncertainty in AI (UAI) (pp. 3-13).
| bib/abs
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| topics: |
BN |
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LGM |
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| C |
D. Koller and A. Pfeffer (1997). "Object-Oriented Bayesian Networks." Proceedings of the 13th Annual Conference on Uncertainty in AI (UAI) (pp. 302-313).
Winner of the Best Student Paper Award.
| bib/abs
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| topics: |
BN |
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RPM |
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| C |
A. V. Kozlov and D. Koller (1997). "Nonuniform dynamic discretization in hybrid networks." Proc. Thirteenth Conference on Uncertainty in Artificial Intelligence (UAI) (pp. 314-325).
| bib/abs
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| topics: |
BN |
HM |
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1996
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| C |
C. Boutilier, N. Friedman, M. Goldszmidt, and D. Koller (1996). "Context-specific independence in Bayesian networks." Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence (UAI '96) (pp. 115-123).
| bib/abs
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BN |
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1995
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| C |
S.J. Russell, J. Binder, D. Koller, and K. Kanazawa (1995). "Local learning in probabilistic networks with hidden variables." Proceedings of the 14th International Joint Conference on Artificial Intelligence (IJCAI) (pp. 1146-1152).
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