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Ross D Shachter
Ross D Shachter
Associate Professor of Management Science and Engineering, Stanford University
Verified email at stanford.edu
Title
Cited by
Cited by
Year
Evaluating influence diagrams
RD Shachter
Operations research 34 (6), 871-882, 1986
19651986
Probabilistic inference and influence diagrams
RD Shachter
Operations research 36 (4), 589-604, 1988
7911988
Causal networks: Semantics and expressiveness
T Verma, J Pearl
Machine intelligence and pattern recognition 9, 69-76, 1990
7121990
Gaussian influence diagrams
RD Shachter, CR Kenley
Management science 35 (5), 527-550, 1989
4931989
Simulation approaches to general probabilistic inference on belief networks
RD Shachter, MA Peot
Machine intelligence and pattern recognition 10, 221-231, 1990
4901990
Dynamic programming and influence diagrams
JA Tatman, RD Shachter
IEEE transactions on systems, man, and cybernetics 20 (2), 365-379, 1990
4631990
Weighing and integrating evidence for stochastic simulation in Bayesian networks
R Fung, KC Chang
Machine intelligence and pattern recognition 10, 209-219, 1990
4541990
Probabilistic diagnosis using a reformulation of the INTERNIST-1/QMR knowledge base
MA Shwe, B Middleton, DE Heckerman, M Henrion, EJ Horvitz, ...
Methods of information in Medicine 30 (04), 241-255, 1991
4411991
Meta-analysis by the confidence profile method
DM Eddy, V Hasselblad, RD Shachter
4121992
Bayes-ball: The rational pastime (for determining irrelevance and requisite information in belief networks and influence diagrams)
RD Shachter
arXiv preprint arXiv:1301.7412, 2013
3272013
Decision making using probabilistic inference methods
RD Shachter, MA Peot
Uncertainty in Artificial Intelligence, 276-283, 1992
2211992
Symbolic Probabilistic Inference in Belief Networks.
RD Shachter, B D'Ambrosio, B Del Favero
AAAI 90, 126-131, 1990
1901990
Fusion and propagation with multiple observations in belief networks
MA Peot, RD Shachter
Artificial Intelligence 48 (3), 299-318, 1991
1791991
Decision-theoretic foundations for causal reasoning
D Heckerman, R Shachter
Journal of Artificial Intelligence Research 3, 405-430, 1995
1781995
Probabilistic diagnosis using a reformulation of the internist-1/qmr knowledge base
B Middleton, AM Shwe, ED Heckerman, M Henrion, JE Horvitz, ...
Methods of information in medicine 30 (04), 256-267, 1991
1741991
Toward normative expert systems: part ii probability-based representations for efficient knowledge acquisition and inference
ED Heckerman, NB Nathwani
Methods of Information in medicine 31 (02), 106-116, 1992
1641992
Uncertainty and decisions in medical informatics
P Szolovits
Methods of information in medicine 34 (01/02), 111-121, 1995
1511995
Intelligent probabilistic inference
RD Shachter
Machine Intelligence and Pattern Recognition 4, 371-382, 1986
1491986
A Bayesian method for synthesizing evidence: the confidence profile method
DM Eddy, V Hasselblad, R Shachter
International Journal of Technology Assessment in Health Care 6 (1), 31-55, 1990
1411990
Global conditioning for probabilistic inference in belief networks
RD Shachter, SK Andersen, P Szolovits
Uncertainty in Artificial Intelligence, 514-522, 1994
1351994
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