Sensitivity analysis in markov networks

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2005, Pages 1300-1305

  Chan, Hei ^a   Darwiche, Adnan ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONDITIONAL PROBABILITIES; FUNCTIONAL FORMS; INFLUENTIAL FACTORS; MULTILINEAR FUNCTIONS; NETWORK PARAMETERS; PARAMETER VALUES; QUERY CONSTRAINTS; TUNING OF PARAMETERS;

ARTIFICIAL INTELLIGENCE; MARKOV PROCESSES; SENSITIVITY ANALYSIS;

BAYESIAN NETWORKS;

EID: 79959933225     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Enrique Castillo, José Manuel Gutiérrez, and Ali S. Hadi. Sensitivity analysis in discrete Bayesian networks. IEEE Transactions on Systems, Man, and Cybernetics, Part A (Systems and Humans), 27:412-423, 1997.
2. Hei Chan and Adnan Darwiche. When do numbers really matter? Journal of Artificial Intelligence Research, 17:265-287, 2002.
3. Hei Chan and Adnan Darwiche. Sensitivity analysis in Bayesian networks: From single to multiple parameters. In Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI), pages 67-75, Arlington, Virginia, 2004. AUAI Press.
4. Hei Chan and Adnan Darwiche. A distance measure for bounding probabilistic belief change. International Journal of Approximate Reasoning, 38:149-174, 2005.
5. Adnan Darwiche. A differential approach to inference in Bayesian networks. Journal of the ACM, 50:280-305, 2003.
6. Stuart Geman and Donald Geman. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Transactions in Pattern Analysis and Machine Intelligence, 6:721-741, 1984. (Pubitemid 15453722)
7. Finn V. Jensen. Gradient descent training of Bayesian networks. In Proceedings of the Fifth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU), pages 190-200, Berlin, Germany, 1999. Springer-Verlag.
8. Finn V. Jensen. Bayesian Networks and Decision Graphs. Springer-Verlag, New York, 2001.
9. Uffe Kjærulff and Linda C. van der Gaag. Making sensitivity analysis computationally efficient. In Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (UAI), pages 317-325, San Francisco, California, 2000. Morgan Kaufmann Publishers.
10. Kathryn B. Laskey. Sensitivity analysis for probability assessments in Bayesian networks. IEEE Transactions on Systems, Man, and Cybernetics, 25:901-909, 1995.
11. Judea Pearl. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann Publishers, San Francisco, California, 1988.