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» Interval Computations in Computer Vision
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TFS
2008
116views more  TFS 2008»
15 years 6 months ago
Fuzzifying Allen's Temporal Interval Relations
When the time span of an event is imprecise, it can be represented by a fuzzy set, called a fuzzy time interval. In this paper, we propose a framework to represent, compute, and re...
Steven Schockaert, Martine De Cock, Etienne E. Ker...
EOR
2006
66views more  EOR 2006»
15 years 6 months ago
Using intervals for global sensitivity and worst-case analyses in multiattribute value trees
Sensitivity analyses have long been used to assess the impacts of uncertainties on outcomes of decision models. Several approaches have been suggested, but it has been problematic...
Jyri Mustajoki, Raimo P. Hämäläinen...
JAIR
2000
105views more  JAIR 2000»
15 years 6 months ago
Reasoning on Interval and Point-based Disjunctive Metric Constraints in Temporal Contexts
We introduce a temporal model for reasoning on disjunctive metric constraints on intervals and time points in temporal contexts. This temporal model is composed of a labeled tempo...
Federico Barber
NN
2007
Springer
15 years 6 months ago
From memory-based decisions to decision-based movements: A model of interval discrimination followed by action selection
The interval discrimination task is a classical experimental paradigm that is employed to study working memory and decision making and typically involves four phases. First, the s...
Prashant Joshi
NN
2000
Springer
165views Neural Networks» more  NN 2000»
15 years 6 months ago
Construction of confidence intervals for neural networks based on least squares estimation
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
Isabelle Rivals, Léon Personnaz