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Daphne Koller Publications
Research Areas (all)Publication TypeYears (all)
BNBayesian Networks   LGMLearning Graphical Models
RPMRicher Probabilistic Models   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: BNLGMRPMTPM

1999
C   X. Boyen, N. Friedman, and D. Koller (1999). "Discovering the hidden structure of complex dynamic systems." Proceedings of the 15th Annual Conference on Uncertainty in AI (UAI) (pp. 206-215). bib/abs pdf ps.gz
topics:    LGM    TPM

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   X. Boyen and D. Koller (1999). "Approximate learning of dynamic models." Advances in Neural Information Processing Systems (NIPS) (pp. 396-402). bib/abs pdf ps.gz
topics:    LGM    TPM

1997
J   J. Binder, D. Koller, S.J. Russell, and K. Kanazawa (1997). "Adaptive probabilistic networks with hidden variables." Machine Learning, 29(2--3), 213-244. Full version of IJCAI '95 paper. bib/abs pdf ps.gz
topics: BN LGM      

C   E. Bauer, D. Koller, and Y. Singer (1997). "Update rules for parameter estimation in Bayesian networks." Proc. Thirteenth Annual Conference on Uncertainty in AI (UAI) (pp. 3-13). bib/abs pdf ps.gz
topics: BN LGM      

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.J. Russell, J. Binder, D. Koller, and K. Kanazawa (1995). "Local learning in probabilistic networks with hidden variables." Proceedings of the 14th International Joint Conference on Artificial Intelligence (IJCAI) (pp. 1146-1152). bib
topics: BN LGM      

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