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» Minimal Belief Change and Pareto-Optimality
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IJCAI
2001
14 years 11 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...
FUIN
2002
76views more  FUIN 2002»
14 years 9 months ago
Making revision reversible: an approach based on polynomials
This paper deals with iterated belief change and proposes a drastic revision rule that modifies a plausibility ordering of interpretations in such a way that any world where the in...
Salem Benferhat, Didier Dubois, Sylvain Lagrue, Od...
JELIA
2000
Springer
15 years 1 months ago
Considerations on Updates of Logic Programs
Abstract. Among others, Alferes et al. (1998) presented an approach for updating logic programs with sets of rules based on dynamic logic programs. We syntactically redefine dynami...
Thomas Eiter, Michael Fink, Giuliana Sabbatini, Ha...
JMLR
2012
12 years 12 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
ECAI
2008
Springer
14 years 11 months ago
A General Model for Epistemic State Revision using Plausibility Measures
In this paper, we present a general revision model on epistemic states based on plausibility measures proposed by Friedman and Halpern. We propose our revision strategy and give so...
Jianbing Ma, Weiru Liu