Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Henrion, Max"'
Autor:
Milford, James, Henrion, Max, Hunter, Chad, Newes, Emily, Hughes, Caroline, Baldwin, Samuel F.
Publikováno v:
In Applied Energy 15 January 2022 306 Part A
This is the Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence, which was held in Windsor, ON, August 18-20, 1989
Externí odkaz:
http://arxiv.org/abs/1304.3855
This is the Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence, which was held in Cambridge, MA, Jul 27 - Jul 29, 1990
Externí odkaz:
http://arxiv.org/abs/1304.3854
Autor:
Wise, Ben P., Henrion, Max
Several different uncertain inference systems (UISs) have been developed for representing uncertainty in rule-based expert systems. Some of these, such as Mycin's Certainty Factors, Prospector, and Bayes' Networks were designed as approximations to p
Externí odkaz:
http://arxiv.org/abs/1304.3430
Autor:
Henrion, Max
Bayes belief networks and influence diagrams are tools for constructing coherent probabilistic representations of uncertain knowledge. The process of constructing such a network to represent an expert's knowledge is used to illustrate a variety of te
Externí odkaz:
http://arxiv.org/abs/1304.2725
Autor:
Kalagnanam, Jayant, Henrion, Max
There has long been debate about the relative merits of decision theoretic methods and heuristic rule-based approaches for reasoning under uncertainty. We report an experimental comparison of the performance of the two approaches to troubleshooting,
Externí odkaz:
http://arxiv.org/abs/1304.2362
Autor:
Elsaesser, Christopher, Henrion, Max
Bayesian inference systems should be able to explain their reasoning to users, translating from numerical to natural language. Previous empirical work has investigated the correspondence between absolute probabilities and linguistic phrases. This stu
Externí odkaz:
http://arxiv.org/abs/1304.1501
Autor:
Henrion, Max, Druzdzel, Marek J.
Comprehensible explanations of probabilistic reasoning are a prerequisite for wider acceptance of Bayesian methods in expert systems and decision support systems. A study of human reasoning under uncertainty suggests two different strategies for expl
Externí odkaz:
http://arxiv.org/abs/1304.1082
Autor:
Henrion, Max
Since exact probabilistic inference is intractable in general for large multiply connected belief nets, approximate methods are required. A promising approach is to use heuristic search among hypotheses (instantiations of the network) to find the mos
Externí odkaz:
http://arxiv.org/abs/1303.5721
Autor:
Druzdzel, Marek J., Henrion, Max
Intercausal reasoning is a common inference pattern involving probabilistic dependence of causes of an observed common effect. The sign of this dependence is captured by a qualitative property called product synergy. The current definition of product
Externí odkaz:
http://arxiv.org/abs/1303.1492