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Daphne Koller Publications
Research Areas (all)Publication TypeYears
BNBayesian Networks   BMBiology and Medicine
LTWLanguage and Web   LGMLearning Graphical Models
MNMarkov Networks   RPMRicher Probabilistic Models
SLSupervised Learning   TPMTemporal Probabilistic Models
JJournal Article
CConference Paper
BBook
ChBook Chapter
TTechnical Report
PhDPhD Disseration
1985 - 1989
1990 - 1994
1995 - 1999
2000 - 2004
2005 - 2009
2010 - 2014

TypeReferenceDownload
topics: BNBMLTWLGMMNRPMSLTPM

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 pdf
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 pdf
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 pdf
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 pdf
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 pdf ps.gz
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 pdf
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 pdf ps.gz
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 pdf ps.gz
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 pdf
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 pdf ps.gz
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 pdf ps.gz
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 pdf
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 pdf ps.gz
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 pdf ps.gz
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 pdf ps.gz
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 pdf ps.gz
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 pdf ps.gz
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 pdf ps.gz
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 pdf ps.gz
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 pdf ps.gz
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 pdf ps.gz
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 pdf ps.gz
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 pdf ps.gz
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 pdf ps.gz
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 pdf ps.gz
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 pdf ps.gz
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 pdf ps.gz
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 pdf ps.gz
topics:                RPM      

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