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IJCAI
2001
13 years 6 months ago
Approximate inference for first-order probabilistic languages
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
Hanna Pasula, Stuart J. Russell
EUSFLAT
2009
114views Fuzzy Logic» more  EUSFLAT 2009»
13 years 3 months ago
The Use of Interval-Valued Probability Measures in Fuzzy Linear Programming: a constraint set approach
This paper uses a constraint set approach to linear programming problems with equality constraints whose coefficients and/or right-hand side values could be uncertain. We consider ...
Phantipa Thipwiwatpotjana, Weldon A. Lodwick
ECIR
1998
Springer
13 years 6 months ago
Modeling Information Retrieval with Probabilistic Argumentation Systems
Probabilistic Argumentation Systems (PAS) are a technique for representing uncertainty both symbolically and numerically. It is shown that this technique, which combines symbolic ...
Justin Picard, Rolf Haenni
VISUALIZATION
2002
IEEE
13 years 10 months ago
Probabilistic Surfaces: Point Based Primitives to Show Surface Uncertainty
Efficient and informative visualization of surfaces with uncertainties is an important topic with many applications in science and engineering. Examples include environmental pol...
Gevorg Grigoryan, Penny Rheingans
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
14 years 7 months ago
Integrating and Ranking Uncertain Scientific Data
Mediator-based data integration systems resolve exploratory queries by joining data elements across sources. In the presence of uncertainties, such multiple expansions can quickly ...
Landon Detwiler, Wolfgang Gatterbauer, Brenton Lou...