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EUSFLAT
2009
103views Fuzzy Logic» more  EUSFLAT 2009»
13 years 2 months ago
Possibility Distribution: a unified representation for parameter estimation
Abstract-- the paper presents a possibility formulation of oneparameter estimation that unifies some usual probability formulations. Point and confidence interval estimation are un...
Gilles Mauris
NIPS
2000
13 years 6 months ago
Active Learning for Parameter Estimation in Bayesian Networks
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
Simon Tong, Daphne Koller
COGSCI
2008
75views more  COGSCI 2008»
13 years 3 months ago
Exemplars, Prototypes, Similarities, and Rules in Category Representation: An Example of Hierarchical Bayesian Analysis
This article demonstrates the potential of using hierarchical Bayesian methods to relate models and data in the cognitive sciences. This is done using a worked example that consid...
Michael D. Lee, Wolf Vanpaemel
IJAR
2008
74views more  IJAR 2008»
13 years 4 months ago
Unifying practical uncertainty representations - I: Generalized p-boxes
Abstract. There exist several simple representations of uncertainty that are easier to handle than more general ones. Among them are random sets, possibility distributions, probabi...
Sébastien Destercke, Didier Dubois, Eric Ch...
IJAR
2008
99views more  IJAR 2008»
13 years 4 months ago
Unifying practical uncertainty representations. II: Clouds
There exist many tools for capturing imprecision in probabilistic representations. Among them are random sets, possibility distributions, probability intervals, and the more recen...
Sébastien Destercke, Didier Dubois, Eric Ch...