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| topics: |
BM | LTW | LGM | RPM | SL |
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2004
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| 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
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| topics: |
BM |
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| 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
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2003
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| 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
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| topics: |
BM |
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RPM |
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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: |
BM |
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RPM |
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| 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
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| topics: |
BM |
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RPM |
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| 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
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| topics: |
BM |
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RPM |
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2002
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| 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 |
RPM |
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| 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
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| topics: |
BM |
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RPM |
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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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LGM |
RPM |
SL |
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2001
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| 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
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| topics: |
BM |
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RPM |
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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 |
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 |
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 |
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
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| topics: |
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LGM |
RPM |
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2000
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| 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
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