My home page
Biography
Research
Publications
My group
Courses
Professional activities
FAQ
Personal
Papers

Daphne Koller Publications
Research Areas (all)Publication TypeYears
BNBayesian Networks   HMHybrid Models
LGMLearning Graphical Models   MNMarkov Networks
RPMRicher 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: BNHMLGMMNRPM

2009
B   D. Koller and N. Friedman (2009). Probabilistic Graphical Models: Principles and Techniques. edited by . MIT Press.bib html
topics: BN    LGM MN   

2007
Ch   D. Koller, N. Friedman, L. Getoor, and B. Taskar (2007). "Graphical Models in a Nutshell." In L. Getoor and B. Taskar, editors, Introduction to Statistical Relational Learning. bib pdf
topics: BN       MN   

2005
C   M. Teyssier and D. Koller (2005). "Ordering-based Search: A Simple and Effective Algorithm for Learning Bayesian Networks." Proceedings of the Twenty-first Conference on Uncertainty in AI (UAI) (pp. 584-590). bib/abs pdf
topics: BN    LGM      

2003
J   N. Friedman and D. Koller (2003). "Being Bayesian about Bayesian Network Structure:A Bayesian Approach to Structure Discovery in Bayesian Networks.." Machine Learning, 50(1--2), 95-125. Full version of UAI 2000 paper. [older version, 2000]bib/abs pdf ps.gz
topics: BN    LGM      

2001
C   U. Lerner, E. Segal, and D. Koller (2001). "Exact Inference in Networks with Discrete Children of Continuous Parents." Seventeenth Annual Conference on Uncertainty in Artificial Intelligence (UAI). bib/abs pdf ps.gz
topics: BN HM         

2000
C   G. Elidan, N. Lotner, N. Friedman, and D. Koller (2000). "Discovering hidden variables: A structure-based approach." Advances in Neural Information Processing Systems (NIPS 2000). bib/abs pdf ps.gz
topics: BN    LGM      

C   N. Friedman and D. Koller (2000). "Being Bayesian about Bayesian Network Structure:A Bayesian Approach to Structure Discovery in Bayesian Networks.." Proceedings of the 16th Annual Conference on Uncertainty in AI (UAI) (pp. 201-210). [newer version, 2003]bib/abs pdf ps.gz
topics: BN    LGM      

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). "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   A. V. Kozlov and D. Koller (1997). "Nonuniform dynamic discretization in hybrid networks." Proc. Thirteenth Conference on Uncertainty in Artificial Intelligence (UAI) (pp. 314-325). bib/abs pdf ps.gz
topics: BN HM         

1996
C   C. Boutilier, N. Friedman, M. Goldszmidt, and D. Koller (1996). "Context-specific independence in Bayesian networks." Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence (UAI '96) (pp. 115-123). bib/abs pdf ps.gz
topics: BN            

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      

Click to go to robotics Click to go to theory Click to go to CS Stanford Click to go to Stanford's Webpage
home | biography | research | papers | my group
courses | professional activities | FAQ | personal