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Daphne Koller Publications
Research Areas (all)Publication TypeYears (all)
BMBiology and Medicine   LTWLanguage and Web
LGMLearning Graphical Models   RPMRicher Probabilistic Models
SLSupervised Learning  
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: BMLTWLGMRPMSL

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   

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