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| topics: |
BN | BM | DM | LTW | LGM | MN | RPM | SL | TPM |
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2004
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| C |
A.J. Battle, E. Segal, and D. Koller (2004). "Probabilistic Discovery of Overlapping Cell Processes and Their Regulation." Eight Annual International Conference on Research in Computational Molecular Biology (RECOMB).
| bib/abs
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| topics: |
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BM |
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LGM |
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| C |
B. Taskar, V. Chatalbashev, and D. Koller (2004). "Learning Associative Markov Networks." Proceedings of the Twenty-First International Conference on Machine Learning (ICML).
| bib/abs
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| topics: |
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LGM |
MN |
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| C |
B. Taskar, D. Klein, M. Collins, D. Koller, and C. Manning (2004). "Max-Margin Parsing." Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).
Winner of the Best Paper Award.
| bib/abs
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| topics: |
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LTW |
LGM |
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SL |
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| C |
B. Taskar, C. Guestrin, and D. Koller (2004). "Max-Margin Markov Networks." Advances in Neural Information Processing Systems (NIPS 2003).
Winner of the Best Student Paper Award.
| bib/abs
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| topics: |
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LTW |
LGM |
MN |
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SL |
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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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| topics: |
BN |
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LGM |
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| C |
E. Segal, D. Pe'er, A. Regev, D. Koller, and N. Friedman (2003). "Learning Module Networks." Proc. Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI) (pp. 525-534).
[newer version, 2005] | bib/abs
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| topics: |
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BM |
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LGM |
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RPM |
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| C |
U. Nodelman, C.R. Shelton, and D. Koller (2003). "Learning Continuous Time Bayesian Networks." Proc. Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI) (pp. 451-458).
Winner of the Best Paper Award.
| bib/abs
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| topics: |
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LGM |
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TPM |
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| C |
B. Taskar, M.-F. Wong, and D. Koller (2003). "Learning on the Test Data: Leveraging `Unseen' Features." Proc. Twentieth International Conference on Machine Learning (ICML).
| bib/abs
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| topics: |
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LTW |
LGM |
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SL |
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2002
|
| J |
L. Getoor, N. Friedman, D. Koller, and B. Taskar (2002). "Learning probabilistic models of Relational Structure." Journal of Machine Learning Research, 3, 679-707.
[older version, 2001] | bib
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| topics: |
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LTW |
LGM |
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RPM |
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| C |
E. Segal, D. Koller, and D. Ormoneit (2002). "Probabilistic Abstraction Hierarchies." Advances in Neural Information Processing Systems (NIPS 2001) (pp. 913-920).
| bib/abs
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| topics: |
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LGM |
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| C |
B. Taskar, P. Abbeel, and D. Koller (2002). "Discriminative Probabilistic Models for Relational Data." Proc. Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI).
| bib/abs
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| topics: |
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LTW |
LGM |
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RPM |
SL |
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2001
|
| C |
S. Tong and D. Koller (2001). "Active Learning for Structure in Bayesian Networks." Seventeenth International Joint Conference on Artificial Intelligence (IJCAI) (pp. 863-869).
| bib/abs
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| topics: |
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LGM |
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| C |
L. Getoor, N. Friedman, D. Koller, and B. Taskar (2001). "Learning probabilistic models of Relational Structure." Proceedings of the Eighteenth International Conference on Machine Learning (pp. 170-177).
[newer version, 2002] | bib/abs
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| topics: |
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LTW |
LGM |
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RPM |
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| C |
L. Getoor, B. Taskar, and D. Koller (2001). "Using Probabilistic Models for Selectivity Estimation." Proceedings of ACM SIGMOD International Conference on Management of Data (pp. 461-472).
| bib/abs
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| topics: |
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LGM |
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RPM |
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| C |
B. Taskar, E. Segal, and D. Koller (2001). "Probabilistic Supervised Learning and Clustering in Relational Data." Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI) (pp. 870-876).
| bib/abs
|
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| topics: |
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LTW |
LGM |
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RPM |
SL |
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| C |
S. Tong and D. Koller (2001). "Active Learning for Parameter Estimation in Bayesian Networks." Conference on Advances in Neural Infomation Processing Systems (NIPS 2000).
| bib/abs
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| topics: |
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LGM |
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|
| Ch |
L. Getoor, N. Friedman, D. Koller, and A. Pfeffer (2001). "Learning Probabilistic Relational Models." In S. D\vzeroski and N. Lavrac, editors, Relational Data Mining (pp. 307-335).
| bib
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| topics: |
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LGM |
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RPM |
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2000
|
| 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 |
U. Chajewska and D. Koller (2000). "Utilities as Random Variables: Density Estimation and Structure Discovery." Proc. UAI--00 (pp. 63-71).
| bib/abs
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| topics: |
|
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DM |
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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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