|
|
| topics: |
BN | BM | LTW | LGM | MN | RPM | SL | TPM |
|---|
|
2007
|
| Ch |
L. Getoor, N. Friedman, D. Koller, A. Pfeffer, and B. Taskar (2007). "Probabilistic Relational Models." In L. Getoor and B. Taskar, editors, Introduction to Statistical Relational Learning.
| bib
|
|
| topics: |
|
|
|
LGM |
|
RPM |
|
|
|
| Ch |
D. Heckerman, C. Meek, and D. Koller (2007). "Probabilistic Entity-Relationship Models, PRMs, and Plate Models." In L. Getoor and B. Taskar, editors, Introduction to Statistical Relational Learning.
| bib
|
|
| topics: |
|
|
|
LGM |
|
RPM |
|
|
|
| Ch |
B. Taskar, P. Abbeel, M.-F. Wong, and D. Koller (2007). "Relational Markov Networks." In L. Getoor and B. Taskar, editors, Introduction to Statistical Relational Learning.
| bib
|
|
| topics: |
|
|
|
LGM |
MN |
RPM |
|
|
|
2005
|
| J |
E. Segal, D. Pe'er, A. Regev, D. Koller, and N. Friedman (2005). "Learning Module Networks." Journal of Machine Learning Research, 6, 557-588.
[older version, 2003] | bib/abs
|
|
| topics: |
|
BM |
|
LGM |
|
RPM |
|
|
|
| C |
B. Taskar, V. Chatalbashev, D. Koller, and C. Guestrin (2005). "Learning Structured Prediction Models: A Large Margin Approach." Twenty-Second International Conference on Machine Learning (ICML).
| bib/abs
|
|
| topics: |
|
BM |
|
LGM |
|
RPM |
SL |
|
|
| C |
H. Wang, E. Segal, A. Ben-Hur, D. Koller, and D. Brutlag (2005). "Identifying protein-protein interaction sites on a genome-wide scale." Advances in Neural Information Processing Systems (NIPS 2004).
| bib/abs
|
|
| topics: |
|
BM |
|
|
|
RPM |
|
|
|
2004
|
| J |
L. Getoor, J. Rhee, D. Koller, and P. Small (2004). "Understanding Tuberculosis Epidemiology using Probabilistic Relational Models." Journal of Artificial Intelligence in Medicine, 30, 233-256.
| bib
|
|
| topics: |
|
BM |
|
|
|
RPM |
|
|
|
| C |
B. Taskar, M.-F. Wong, P. Abbeel, and D. Koller (2004). "Link Prediction in Relational Data." Advances in Neural Information Processing Systems (NIPS 2003).
| bib/abs
|
|
| topics: |
|
|
LTW |
|
|
RPM |
|
|
|
2003
|
| C |
E. Segal, A.J. Battle, and D. Koller (2003). "Decomposing gene expression into cellular processes." Proc. Pacific Symposium on Biocomputing (PSB) (pp. 89-100).
| bib/abs
|
|
| topics: |
|
BM |
|
|
|
RPM |
|
|
|
| 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
|
|
| topics: |
|
BM |
|
LGM |
|
RPM |
|
|
|
| J |
E. Segal, R. Yelensky, and D. Koller (2003). "Genome-wide Discovery of Transcriptional Modules from DNA Sequence and Gene Expression." Bioinformatics, 19(S1 (Proc. ISMB)), 1273-82.
Winner of the ISMB Best Paper Award.
| bib/abs
|
|
| topics: |
|
BM |
|
|
|
RPM |
|
|
|
| J |
E. Segal, H. Wang, and D. Koller (2003). "Discovering Molecular Pathways from Protein Interaction and Gene Expression data." Bioinformatics, 19(S1 (Proc ISMB)).
Winner of the ISMB Best Student Paper Award.
| bib/abs
|
|
| topics: |
|
BM |
|
|
|
RPM |
|
|
|
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
|
|
| topics: |
|
|
LTW |
LGM |
|
RPM |
|
|
|
| C |
E. Segal, Y. Barash, I. Simon, N. Friedman, and D. Koller (2002). "From Promoter Sequence to Expression: A Probabilistic Framework." Sixth Annual International Conference on Research in Computational Molecular Biology (RECOMB) (pp. 263-272).
| bib
|
|
| topics: |
|
BM |
|
|
|
RPM |
|
|
|
| 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
|
|
| topics: |
|
|
LTW |
LGM |
|
RPM |
SL |
|
|
2001
|
| J |
E. Segal, B. Taskar, A. Gasch, N. Friedman, and D. Koller (2001). "Rich probabilistic models for gene expression." Bioinformatics, 17(Suppl 1), S243-52.
Proc. ISMB 2001.
| bib/abs
|
|
| topics: |
|
BM |
|
|
|
RPM |
|
|
|
| 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
|
|
| topics: |
|
|
LTW |
LGM |
|
RPM |
|
|
|
| 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
|
|
| topics: |
|
|
|
LGM |
|
RPM |
|
|
|
| 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
|
|
| topics: |
|
|
LTW |
LGM |
|
RPM |
SL |
|
|
| 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
|
|
| topics: |
|
|
|
LGM |
|
RPM |
|
|
|
2000
|
| C |
A. Pfeffer and D. Koller (2000). "Semantics and inference for recursive probability models." Proceedings of the 17th National Conference on Artificial Intelligence (AAAI) (pp. 538-544).
| bib/abs
|
|
| topics: |
|
|
|
|
|
RPM |
|
|
|
1999
|
| C |
N. Friedman, L. Getoor, D. Koller, and A. Pfeffer (1999). "Learning probabilistic relational models." Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (IJCAI-99) (pp. 1300-1309).
| bib/abs
|
|
| topics: |
|
|
|
LGM |
|
RPM |
|
|
|
| C |
A. Pfeffer, D. Koller, B. Milch, and K. Takusagawa (1999). "SPOOK: A system for probabilistic object-oriented knowledge representation." Proceedings of the 15th Annual Conference on Uncertainty in AI (UAI) (pp. 541-550).
| bib/abs
|
|
| topics: |
|
|
|
|
|
RPM |
|
|
|
| Ch |
D. Koller (1999). "Probabilistic relational models." In Sa\vso D\vzeroski and Peter Flach, editors, Proceedings of 9th International Workshop on Inductive Logic Programming (ILP) (pp. 3-13).
Invited contribution.
| bib
|
|
| topics: |
|
|
|
|
|
RPM |
|
|
|
1998
|
| C |
N. Friedman, D. Koller, and A. Pfeffer (1998). "Structured representation of complex stochastic systems." Proceedings of the 15th National Conference on Artificial Intelligence (AAAI) (pp. 157-164).
| bib/abs
|
|
| topics: |
|
|
|
|
|
RPM |
|
TPM |
|
| C |
D. Koller and A. Pfeffer (1998). "Probabilistic frame-based systems." Proceedings of the 15th National Conference on Artificial Intelligence (AAAI) (pp. 580-587).
| bib/abs
|
|
| topics: |
|
|
|
|
|
RPM |
|
|
|
1997
|
| 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
|
|
| topics: |
BN |
|
|
|
|
RPM |
|
|
|
| C |
D. Koller, D. McAllester, and A. Pfeffer (1997). "Effective Bayesian Inference for Stochastic Programs." Proceedings of the 14th National Conference on Artificial Intelligence (AAAI) (pp. 740-747).
| bib/abs
|
|
| topics: |
|
|
|
|
|
RPM |
|
|
|
| C |
D. Koller, A. Levy, and A. Pfeffer (1997). "P-Classic: A Tractable Probabilistic Description Logic." Proceedings of the 14th National Conference on Artificial Intelligence (AAAI) (pp. 390-397).
| bib/abs
|
|
| topics: |
|
|
|
|
|
RPM |
|
|
|
| C |
D. Koller and A. Pfeffer (1997). "Learning probabilities for noisy first-order rules." Proceedings of the International Joint Conference on Artificial Intelligence (pp. 1316-1321).
| bib/abs
|
|
| topics: |
|
|
|
LGM |
|
RPM |
|
|
|
1995
|
| C |
S. Glesner and D. Koller (1995). "Constructing flexible dynamic belief networks from first-order probabilistic knowledge bases." Proceedings of the European Conference on Symbolic andQuantitative Approaches to Reasoning and Uncertainty (ECSQARU '95) (pp. 217-226).
| bib/abs
|
|
| topics: |
|
|
|
|
|
RPM |
|
|
|
