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» Two-Dimensional Belief Change
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IJCAI
2001
13 years 9 months ago
Weakening Conflicting Information for Iterated Revision and Knowledge Integration
The ability to handle exceptions, to perform iterated belief revision and to integrate information from multiple sources are essential skills for an intelligent agent. These impor...
Salem Benferhat, Souhila Kaci, Daniel Le Berre, Ma...
IJON
2007
104views more  IJON 2007»
13 years 7 months ago
A probabilistic model of eye movements in concept formation
It has been unclear whether optimal experimental design accounts of data selection may offer insight into evidence acquisition tasks in which the learner’s beliefs change greatl...
Jonathan D. Nelson, Garrison W. Cottrell
SYNTHESE
2011
86views more  SYNTHESE 2011»
13 years 2 months ago
Objective Bayesianism, Bayesian conditionalisation and voluntarism
Objective Bayesianism has been criticised on the grounds that objective Bayesian updating, which on a finite outcome space appeals to the maximum entropy principle, differs from...
Jon Williamson
CISS
2010
IEEE
12 years 11 months ago
Unconstrained minimization of quadratic functions via min-sum
—Gaussian belief propagation is an iterative algorithm for computing the mean of a multivariate Gaussian distribution. Equivalently, the min-sum algorithm can be used to compute ...
Nicholas Ruozzi, Sekhar Tatikonda
JMLR
2012
11 years 10 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee