An edition of Uncertainty in artificial intelligence 3
(1989)
Uncertainty in artificial intelligence 3
by Laveen N. Kanal and Tod S. Levitt
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Uncertainty in Artificial Intelligence 3 (Machine Intelligence and Pattern Recognition)
November 1989, North-Holland
Hardcover
in English
0444874178 9780444874177
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Book Details
Table of Contents
An algorithm for computing probabilistic propositions / G.F. Cooper
Higher order probabilities / H.E. Kyburg, Jr.
Nilsson's probabilistic entailment extended to Dempster-Shafer theory / M. McLeish
Towards solving the multiple extension problem : combining defaults and probability / E. Neufeld and D. Poole
Satisfaction of assumptions is a weak predictor of performance / B.P. Wise
Evaluation of uncertain inference models III : the role of tuning / B.P. Wise ... [et al.]
Can evidence be combined in the Dempster-Shafer theory / J. Yen
Bayesian inference in model-based machine vision / T.O. Binford, T.S. Levitt, and W.B. Mann
Computing belief commitments using tensor products / L.B. Booker, N. Hota, and G. Hemphill.
Decision tree induction systems : a Bayesian analysis / W. Buntine
Bayesian belief network inference using simulation / H.L. Chin and G.F. Cooper
A Bayesian perspective on confidence / D. Heckerman and H. Jimison
Some practical issues in constructing belief networks / M. Henrion
The recovery of causal poly-trees from statistical data / G. Rebane and J. Pearl
A heuristic Bayesian approach to knowledge acquisition : application to the analysis of tissue-type plasminogen activator / R.D. Shachter ... [et al.]
Advantages and a limitation of using LEG nets in a real time problem / T.B. Slack
A unified appraoch to imprecision and sensitivity of beliefs in expert systems / D.J. Spiegelhalter
Structuring causal tree models with continuous variables / L. Xu and J. Pearl.
Using the Dempster-Shafer scheme in a mixed-initiative expert system shell / G. Biswas and T.S. Anand
T-norm based reasoning in situation assessment applications / P.P. Bonissone and N.C. Wood
Steps towards programs that manage uncertainity / P.R. Cohen
A hybrid approach to reasoning under uncertainty / B. D'Ambrosio
Estimation procedures for robust sensor control / G. Hager and M. Mintz
Reasoning about beliefs and actions under computational resource constraints / E.J. Horvitz
Efficient inference on generalized fault diagrams / R.D. Shachter and L.J. Bertrand
Implementing evidential reasoning in expert systems / J. Yen
The automatic training of rule bases that use numerical uncertainty representations / R.A. Caruana
Modifiable combining functions / P.R. Cohen, G. Shafer, and P.P. Shenoy.
The inductive logic of information systems / N.C. Dalkey
Explanation of probabilistic inference / C. Elsaesser
Theory-based inductive learning : an integration of symbolic and quantitative methods / S. Star.
Edition Notes
Conference papers.
Includes bibliographies.
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- Created October 12, 2008
- 4 revisions
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| July 31, 2019 | Edited by MARC Bot | associate edition with work OL18843801W |
| April 16, 2010 | Edited by bgimpertBot | Added goodreads ID. |
| April 13, 2010 | Edited by Open Library Bot | Linked existing covers to the edition. |
| October 12, 2008 | Created by ImportBot | Imported from Oregon Libraries MARC record |