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» The Aggregation of Imprecise Probabilities
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AGI
2011
12 years 11 months ago
Imprecise Probability as a Linking Mechanism between Deep Learning, Symbolic Cognition and Local Feature Detection in Vision Pro
A novel approach to computer vision is outlined, involving the use of imprecise probabilities to connect a deep learning based hierarchical vision system with both local feature de...
Ben Goertzel
IJAR
2007
69views more  IJAR 2007»
13 years 7 months ago
Decision making under uncertainty using imprecise probabilities
Various ways for decision making with imprecise probabilities—admissibility, maximal expected utility, maximality, E-admissibility, Γ-maximax, Γ-maximin, all of which are well...
Matthias C. M. Troffaes
ISIPTA
1999
IEEE
139views Mathematics» more  ISIPTA 1999»
13 years 11 months ago
Rational Decision Making With Imprecise Probabilities
Decision criteria based on an imprecise probability representation of uncertainty have been criticized, from the normative point of view, on the grounds that they make the decisio...
Jean-Yves Jaffray
UAI
2008
13 years 8 months ago
Strategy Selection in Influence Diagrams using Imprecise Probabilities
This paper describes a new algorithm to solve the decision making problem in Influence Diagrams based on algorithms for credal networks. Decision nodes are associated to imprecise...
Cassio Polpo de Campos, Qiang Ji
UAI
1996
13 years 8 months ago
Why is diagnosis using belief networks insensitive to imprecision in probabilities?
Recent research has found that diagnostic performance with Bayesian belief networks is often surprisingly insensitive to imprecision in the numerical probabilities. For example, t...
Max Henrion, Malcolm Pradhan, Brendan Del Favero, ...