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» Model Uncertainty in Classical Conditioning
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ICDM
2006
IEEE
183views Data Mining» more  ICDM 2006»
14 years 2 months ago
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Arpit Mathur, Soumen Chakrabarti
APN
2000
Springer
14 years 12 days ago
Pre- and Post-agglomerations for LTL Model Checking
One of the most efficient analysis technique is to reduce an original model into a simpler one such that the reduced model has the same properties than the original one. G. Berthel...
Denis Poitrenaud, Jean-François Pradat-Peyr...
CSDA
2008
154views more  CSDA 2008»
13 years 8 months ago
Independent factor discriminant analysis
In the general classification context the recourse to the so-called Bayes decision rule requires to estimate the class conditional probability density functions. In this paper we p...
Angela Montanari, Daniela G. Calò, Cinzia V...
AE
2003
Springer
14 years 1 months ago
An Agent Model for First Price and Second Price Private Value Auctions
The aim of this research is to develop an adaptive agent based model of auction scenarios commonly used in auction theory to help understand how competitors in auctions reach equil...
Anthony J. Bagnall, Iain Toft
IAT
2005
IEEE
14 years 1 months ago
Modelling Multiagent Bayesian Networks with Inclusion Dependencies
Multiagent Bayesian networks (MABNs) are a powerful new framework for uncertainty management in a distributed environment. In a MABN, a collective joint probability distribution i...
Cory J. Butz