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ORCID4th UAI 1988: Minneapolis, MN, USA
- Ross D. Shachter, Tod S. Levitt, Laveen N. Kanal, John F. Lemmer:
UAI '88: Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence, Minneapolis, MN, USA, July 10-12, 1988. North-Holland 1990, ISBN 0-444-88650-8 - Dan Geiger, Judea Pearl:
On the logic of causal models. 3-14 - Bruce D'Ambrosio:
Process, structure and modularity in reasoning with uncertainty. 15-26 - Thomas L. Dean, Keiji Kanazawa:
Probabilistic causal reasoning. 27-42 - Spencer Star:
Generating decision structures and causal explanations for decision making. 43-58 - John S. Breese, Michael R. Fehling:
Control of problem solving: principles and architecture. 59-68 - Thomas Verma, Judea Pearl:
Causal networks: semantics and expressiveness. 69-78 - Pramod Jain, Alice M. Agogino:
Stochastic sensitivity analysis using fuzzy influence diagrams. 79-92 - Ross D. Shachter:
A linear approximation method for probabilistic inference. 93-104 - Wilson X. Wen:
Minimum cross entropy reasoning in recursive causal networks. 105-120 - Eric Neufeld, David L. Poole, Romas Aleliunas:
Probabilsitic semantics and defaults. 121-132 - Peter Haddawy, Alan M. Frisch:
Modal logics of higher-order probability. 133-148 - Wolfgang Spohn:
A general non-probabilistic theory of inductive reasoning. 149-158 - Henry E. Kyburg Jr.:
Epistemological relevance and statistical knowledge. 159-168 - Prakash P. Shenoy, Glenn Shafer:
Axioms for probability and belief-function proagation. 169-198 - Romas Aleliunas:
A summary of a new normative theory of probabilistic logic. 199-206 - Paul K. Black, Kathryn B. Laskey:
Hierarchical evidence and belief functions. 207-216 - Fahiem Bacchus:
On probability distributions over possible worlds. 217-226 - John Yen:
A framework of fuzzy evidential reasoning. 227-240 - Daniel Hunter:
Parallel belief revision. 241-252 - Ronald Prescott Loui:
Evidential reasoning compared in a network usage prediction testbed: preliminary report. 253-270 - Jayant Kalagnanam, Max Henrion:
A comparison of decision alaysis and expert rules for sequential diagnosis. 271-282 - David Heckerman:
An empirical comparison of three inference methods. 283-302 - Didier Dubois, Henri Prade:
Modeling uncertain and vague knowledge in possibility and evidence theories. 303-318 - Henry E. Kyburg Jr.:
Probabilistic inference and non-monotonic inference. 319-326 - Suk Wah Kwok, Chris Carter:
Multiple decision trees. 327-338 - R. Martin Chavez, Gregory F. Cooper:
KNET: integrating hypermedia and normative bayesian modeling. 339-350 - Holly Brügge Jimison:
Generating explanations of decision models based on an augmented representation of uncertainty. 351-368 - Matthew Cecile, Mary McLeish, P. Pascoe, W. Taylor:
Induction and uncertainty management techniques applied to veterinary medical diagnosis. 369-382 - Alexander S. Yeh:
Predicting the likely behaviours of continuous nonlinear systems in equilibrium. 383-396 - John Mark Agosta:
The structure of bayes networks for visual recognition. 397-406 - Tod S. Levitt, Thomas O. Binford, Gil J. Ettinger:
Utility-based control for computer vision. 407-422
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