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Ross D. Shachter: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ross D. Shachter, David Heckerman
    Thinking Backward for Knowledge Acquisition. [Citation Graph (1, 0)][DBLP]
    AI Magazine, 1987, v:8, n:3, pp:55-61 [Journal]
  2. Ross D. Shachter, Bruce D'Ambrosio, Brendan Del Favero
    Symbolic Probabilistic Inference in Belief Networks. [Citation Graph (0, 0)][DBLP]
    AAAI, 1990, pp:126-131 [Conf]
  3. Daniel G. Shapiro, Pat Langley, Ross D. Shachter
    Using background knowledge to speed reinforcement learning in physical agents. [Citation Graph (0, 0)][DBLP]
    Agents, 2001, pp:254-261 [Conf]
  4. Elizabeth S. Burnside, Daniel L. Rubin, Ross D. Shachter
    Improving a Bayesian network's ability to predict the probability of malignancy of microcalcifications on mammography. [Citation Graph (0, 0)][DBLP]
    CARS, 2004, pp:1021-1026 [Conf]
  5. Adriano Azevedo-Filho, Ross D. Shachter
    Laplace's Method Approximations for Probabilistic Inference in Belief Networks with Continuous Variables. [Citation Graph (0, 0)][DBLP]
    UAI, 1994, pp:28-36 [Conf]
  6. Brian Y. Chan, Ross D. Shachter
    Structural Controllability and Observability in Influence Diagrams. [Citation Graph (0, 0)][DBLP]
    UAI, 1992, pp:25-32 [Conf]
  7. Tom Chávez, Ross D. Shachter
    Decision Flexibility. [Citation Graph (0, 0)][DBLP]
    UAI, 1995, pp:77-86 [Conf]
  8. David Heckerman, Ross D. Shachter
    A Decision-based View of Causality. [Citation Graph (0, 0)][DBLP]
    UAI, 1994, pp:302-310 [Conf]
  9. David Heckerman, Ross D. Shachter
    A Definition and Graphical Representation for Causality. [Citation Graph (0, 0)][DBLP]
    UAI, 1995, pp:262-273 [Conf]
  10. Harold P. Lehmann, Ross D. Shachter
    End-User Construction of Influence Diagrams for Bayesian Statistics. [Citation Graph (0, 0)][DBLP]
    UAI, 1993, pp:48-54 [Conf]
  11. Mark A. Peot, Ross D. Shachter
    Learning From What You Don't Observe. [Citation Graph (0, 0)][DBLP]
    UAI, 1998, pp:439-446 [Conf]
  12. William B. Poland, Ross D. Shachter
    Mixtures of Gaussians and Minimum Relative Entropy Techniques for Modeling Continuous Uncertainties. [Citation Graph (0, 0)][DBLP]
    UAI, 1993, pp:183-190 [Conf]
  13. William B. Poland, Ross D. Shachter
    Three Approaches to Probability Model Selection. [Citation Graph (0, 0)][DBLP]
    UAI, 1994, pp:478-483 [Conf]
  14. Ross D. Shachter
    Intelligent Probabilistic Inference. [Citation Graph (0, 0)][DBLP]
    UAI, 1985, pp:371-382 [Conf]
  15. Ross D. Shachter
    DAVID: influence diagram processing system for the macintosh. [Citation Graph (0, 0)][DBLP]
    UAI, 1986, pp:191-196 [Conf]
  16. Ross D. Shachter
    A linear approximation method for probabilistic inference. [Citation Graph (0, 0)][DBLP]
    UAI, 1988, pp:93-104 [Conf]
  17. Ross D. Shachter
    Evidence Absorption and Propagation through Evidence Reversals. [Citation Graph (0, 0)][DBLP]
    UAI, 1989, pp:173-190 [Conf]
  18. Ross D. Shachter
    A Graph-Based Inference Method for Conditional Independence. [Citation Graph (0, 0)][DBLP]
    UAI, 1991, pp:353-360 [Conf]
  19. Ross D. Shachter
    Bayes-Ball: The Rational Pastime (for Determining Irrelevance and Requisite Information in Belief Networks and Influence Diagrams). [Citation Graph (0, 0)][DBLP]
    UAI, 1998, pp:480-487 [Conf]
  20. Ross D. Shachter
    Efficient Value of Information Computation. [Citation Graph (0, 0)][DBLP]
    UAI, 1999, pp:594-601 [Conf]
  21. Ross D. Shachter, Stig K. Andersen, Kim-Leng Poh
    Directed reduction algorithms and decomposable graphs. [Citation Graph (0, 0)][DBLP]
    UAI, 1990, pp:197-208 [Conf]
  22. Ross D. Shachter, Stig K. Andersen, Peter Szolovits
    Global Conditioning for Probabilistic Inference in Belief Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 1994, pp:514-522 [Conf]
  23. Ross D. Shachter, Leonard J. Bertrand
    Efficient Inference on Generalized Fault Diagrams. [Citation Graph (0, 0)][DBLP]
    UAI, 1987, pp:325-332 [Conf]
  24. Ross D. Shachter, David M. Eddy, Vic Hasselblad, Robert Wolpert
    A Heuristic Bayesian Approach to Knowledge Acquisition: Application to the Analysis of Tissue-Type Plasminogen Activator. [Citation Graph (0, 0)][DBLP]
    UAI, 1987, pp:183-190 [Conf]
  25. Ross D. Shachter, David Heckerman
    A backwards view for assessment. [Citation Graph (0, 0)][DBLP]
    UAI, 1986, pp:317-324 [Conf]
  26. Ross D. Shachter, Marvin Mandelbaum
    A Measure of Decision Flexibility. [Citation Graph (0, 0)][DBLP]
    UAI, 1996, pp:485-491 [Conf]
  27. Ross D. Shachter, Pierre Ndilikilikesha
    Using Potential Influence Diagrams for Probabilistic Inference and Decision Making. [Citation Graph (0, 0)][DBLP]
    UAI, 1993, pp:383-390 [Conf]
  28. Ross D. Shachter, Mark A. Peot
    Simulation Approaches to General Probabilistic Inference on Belief Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 1989, pp:221-234 [Conf]
  29. Ross D. Shachter, Mark A. Peot
    Decision Making Using Probabilistic Inference Methods. [Citation Graph (0, 0)][DBLP]
    UAI, 1992, pp:276-283 [Conf]
  30. Mark A. Peot, Ross D. Shachter
    Fusion and Propagation with Multiple Observations in Belief Networks. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1991, v:48, n:3, pp:299-318 [Journal]
  31. Ross D. Shachter
    Efficient inference on generalized fault diagrams. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1988, v:2, n:3, pp:342- [Journal]
  32. Ross D. Shachter, David M. Eddy, Vic Hasselblad, Robert Wolpert
    A heuristic Bayesian approach to knowledge acquisition: Application to analysis of tissue-type plasminogen activator. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1988, v:2, n:3, pp:342- [Journal]
  33. David Heckerman, Ross D. Shachter
    Decision-Theoretic Foundations for Causal Reasoning. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 1995, v:3, n:, pp:405-430 [Journal]
  34. George C. Scott, Ross D. Shachter
    Individualizing generic decision models using assessments as evidence. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2005, v:38, n:4, pp:281-297 [Journal]

  35. Sensitivity analysis in decision circuits. [Citation Graph (, )][DBLP]


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