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FLAIRS
2007
13 years 9 months ago
Probabilistic Knowledge Processing and Remaining Uncertainty
Information is indispensable in preparing economic decisions purposefully. In this paper knowledge is represented by a probability distribution. Knowledge acquisition is realized ...
Elmar Reucher, Friedhelm Kulmann
ECSQARU
2001
Springer
13 years 12 months ago
Polymorphism of Human Judgment under Uncertainty
The aim of this paper is to test if conjunctive and disjunctive judgments are differently accounted for possibility and probability theories depending on whether (1) judgments are ...
Rui Da Silva Neves, Eric Raufaste
IJCV
2000
180views more  IJCV 2000»
13 years 7 months ago
Probabilistic Models of Appearance for 3-D Object Recognition
We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses pro...
Arthur R. Pope, David G. Lowe
TSP
2008
132views more  TSP 2008»
13 years 7 months ago
Robust Intervention in Probabilistic Boolean Networks
Probabilistic Boolean networks (PBNs) have been recently introduced as a paradigm for modeling genetic regulatory networks. One of the objectives of PBN modeling is to use the netw...
Ranadip Pal, Aniruddha Datta, Edward R. Dougherty
VLDB
1992
ACM
173views Database» more  VLDB 1992»
13 years 11 months ago
An Extended Relational Database Model for Uncertain and Imprecise Information
We propose an extended relational database model which can model both uncertainty and imprecision in data. This model is basedon Dempster-Shafertheory which has become popular in ...
Suk Kyoon Lee