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UAI
2000
13 years 10 months ago
Tractable Bayesian Learning of Tree Belief Networks
In this paper we present decomposable priors, a family of priors over structure and parameters of tree belief nets for which Bayesian learning with complete observations is tracta...
Marina Meila, Tommi Jaakkola
FSS
2011
93views more  FSS 2011»
13 years 3 months ago
Upper and lower probabilities induced by a fuzzy random variable
We review two existing interpretations of fuzzy random variables. In the first one, the fuzzy random variable is viewed as a linguistic random variable. In the second case, it re...
Inés Couso, Luciano Sánchez
TFS
2008
157views more  TFS 2008»
13 years 8 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin
FSS
2008
87views more  FSS 2008»
13 years 8 months ago
Representing parametric probabilistic models tainted with imprecision
Numerical possibility theory, belief function have been suggested as useful tools to represent imprecise, vague or incomplete information. They are particularly appropriate in unc...
Cédric Baudrit, Didier Dubois, Nathalie Per...
AAAI
2004
13 years 10 months ago
Fuzzy Induction in Dynamic User Profiling for Information Filtering
one. The assignment of the weights is performed according to the following two conditions: 1) The sum of weights assigned to the links outgoing from the original keyword has to be ...
Rafal A. Angryk, Costin Barbu