Nir Friedman: Publications

This page contains papers that have been published, extended abstracts submitted to conferences, and some unpublished work. Questions and comments about these works are welcome.

Refereed Journals

• Bayesian networks classifiers with D. Geiger, and M. Goldszmidt.
  In Machine Learning 29:131--163, 1997. PostScript (430K).
• Plausibility measures and default reasoning with J. Y. Halpern. .
  To appear in Journal of the ACM.  PostScript (425K).
• Modeling beliefs in dynamic systems Part I: Foundations with J. Y. Halpern.  
  In Artificial Intelligence, 95:257--316, 1997. PostScript (610K).
• Modeling Beliefs in Dynamic Systems. Part II: Revision and Update with J. Y. Halpern.
  Accepted for publication. Journal of AI Research. 1998. PostScript (501K).
• Belief revision: A critique with J. Y. Halpern.
  Accepted for publication. Journal of Logic, Language, and Information1998. PostScript (224K).

Book Chapters

• Learning Bayesian Networks with Local Structure with  M. Goldszmidt.
  In M. I. Jordan ed. Learning and Inference in Graphical Models. 1998. Postscript (???K).

Refereed Conferences

1998

• Belief revision with unreliable observations with C. Boutilier and J. Y. Halpern.
  In Fifteenth National Conf. on Artificial Intelligence (AAAI), 1998.
• Bayesian Q-Learning with R. Dearden and S. Russell.
  In Fifteenth National Conf. on Artificial Intelligence (AAAI), 1998.
• The Bayesian structural EM algorithm.
  In Fourteenth Conf. on Uncertainty in Artificial Intelligence (UAI). 1998.
• Bayesian network classification with continuous attributes: Getting the best of both discretization and parametric fitting, with M. Goldszmidt and T. J. Lee.
  In Fifteenth Inter. Conf. on Machine Learning (ICML). 1998
• Learning the structure of dynamic probabilistic networks, with K. Murphy and S. Russell.
  In Fourteenth Conf. on Uncertainty in Artificial Intelligence (UAI). 1998.
• Structured Representation of Complex Stochastic Systems, with D. Koller and A. Pfeffer.
  In Fifteenth National Conf. on Artificial Intelligence (AAAI), 1998.

1997

• Generalized Prioritized Sweeping with D. Andre, and R. Parr
  To appear, NIPS 97.  PostScript (120K).
  A preliminary version appears in Reinforcement Learning Workshop at the Fourteenth International Conference on Machine Learning. 1997.
• Learning belief networks in the presence of missing values and hidden variables..
  In Fourteenth Inter. Conf. on Machine Learning (ICML). 1997.  PostScript (140K).
• Challenge: Where is the Impact of Bayesian Networks in Learning? with D. Heckerman, M. Goldszmidt, and S. Russell.
  In Proc. Fifteenth International Joint Conference on Artificial Intelligence (IJCAI). 1997.  PostScript.
• Sequential update of Bayesian network structure with M. Goldszmidt.
  In Proc. Thirteenth Conf. on Uncertainty in Artificial Intelligence (UAI). 1997.  PostScript (173K).
• Image segmentation in video sequences: A probabilistic approach with S. Russell.
  In Proc. Thirteenth Conf. on Uncertainty in Artificial Intelligence (UAI). 1997.  PostScript (460K).

1996

• Context-Specific Independence in Bayesian Networks with C. Boutilier, M. Goldszmidt, and D. Koller.
  In Proc. Twelfth Conf. on Uncertainty in Artificial Intelligence (UAI). 1996.  PostScript (168k).
• Building Classifiers using Bayesian Networks with M. Goldszmidt.
  In Thirteenth National Conf. on Artificial Intelligence (AAAI). 1996.  PostScript (208K).
• Discretizing Continuous Attributes While Learning Bayesian Networks with M. Goldszmidt. .
  In Proc. 13'th International Conference on Machine Learning (ICML), 157-165, 1996. PostScript (136K).
• Learning Bayesian Networks with Local Structure with M. Goldszmidt.
  In Proc. Twelfth Conf. on Uncertainty in Artificial Intelligence (UAI). 1996. PostScript (280K).
• Plausibility measures and default reasoning with J. Y. Halpern.
  In Thirteenth National Conf. on Artificial Intelligence (AAAI). 1996. PostScript (265K).
• A qualitative Markov assumption and its implications for belief change with J. Y. Halpern.
  In Proc. Twelfth Conf. on Uncertainty in Artificial Intelligence (UAI). 1996. PostScript (184K).
• Belief revision: A critique with J. Y. Halpern.
  In Fifth Inter. Conf. on Knowledge Representation and Reasoning (KR). 1996. PostScript (128K).
• Conditional first-order logic revisited with J. Y. Halpern, and D. Koller.
  In Thirteenth National Conf. on Artificial Intelligence (AAAI). 1996. PostScript (136K).
• On the Sample Complexity of Learning Bayesian Networks with Z. Yakhini.
  In Proc. Twelfth Conf. on Uncertainty in Artificial Intelligence (UAI). 1996. PostScript (184K).

1995

• On decision-theoretic foundations for defaults with R. I. Brafman.
  In Proc. Fourteenth International Joint Conference on Artificial Intelligence (IJCAI '95), 1995. PostScript (184K).
• Plausibility Measures: A User's Guide with J. Y. Halpern.
  In Proc. Eleventh Conf. on Uncertainty in Artificial Intelligence (UAI 95), 175-184. 1995. PostScript (160K).

1994

• A knowledge-based framework for belief change. Part I: Foundations with J. Y. Halpern.
  In R. Fagin, ed. Theoretical Aspects of Reasoning about Knowledge: Proc. Fifth Conference (TARK'94), 44-64 1994. PostScript (120K).
• A knowledge-based framework for belief change. Part II: Revision and update with J. Y. Halpern.
  In J. Doyle, E. Sandwell, and P. Torasso, eds. Principles of Knowledge Representation and Reasoning: Proc. Fourth International Conference (KR'94), 1994. 190-201. PostScript (232K).
• On the complexity of conditional logics with J. Y. Halpern.
  In J. Doyle, E. Sandwell, and P. Torasso, eds. Principles of Knowledge Representation and Reasoning: Proc. Fourth International Conference (KR'94), 1994. 202-213. PostScript (248K).
• Conditional logics of belief change with J. Y. Halpern.
  In Proc. National Conference on Artificial Intelligence (AAAI '94),1994. 915-921. PostScript (120K).

Work in Progress

• Concurrent stochastic automata: An alternative representation for dynamic systems with D. Koller. . 1997.
• Nondeterministic actions and the frame problem with C. Boutilier..
  Earlier version appeared in Extending Theories of Actions, AAAI Spring Symposium Series 1995. PostScript (120K).
• Qualitative planning under assumptions: a preliminary report with D. Koller.
  In Decision-Theoretic Planning. AAAI Spring Symposium Series. 1994. PostScript (192K).

Others

• N. Friedman. Modeling beliefs in dynamic systems. Phd Thesis, Stanford. 1997.
  Abstract, Compressed PostScript (441K).
• N. Friedman. On the power and complexity of knowledge-charts. Master's Thesis, Weizmann Institute of Science. 1992.

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