Uncertainty in artificial intelligence 3
By: edited by Laveen N. Kanal, Tod S. Levitt, John F. Lemmer.
Contributors: Kanal, Laveen N.; Levitt, Tod S.; Lemmer, John F.
Series: Machine intelligence and pattern recognition -- v. 8.
Publisher: North-Holland
Published: 1989
Place of publication: Amsterdam; Oxford
Language: eng
Number of pages: 424
Subjects: Artificial intelligence.; Problem solving.; Uncertainty.; Heuristic programming.
Notes: Conference papers.

Includes bibliographies.
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.