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AIIA
2001
Springer
14 years 15 hour ago
A Knowledge-Based Neurocomputing Approach to Extract Refined Linguistic Rules from Data
– This paper proposes a knowledge-based neurocomputing approach to extract and refine a set of linguistic rules from data. A neural network is designed along with its learning al...
Giovanna Castellano, Anna Maria Fanelli
ECSQARU
2001
Springer
14 years 4 hour ago
New Semantics for Quantitative Possibility Theory
New semantics for numerical values given to possibility measures are provided. For epistemic possibilities, the new approach is based on the semantics of the transferable belief m...
Didier Dubois, Henri Prade, Philippe Smets
JAPLL
2008
121views more  JAPLL 2008»
13 years 7 months ago
Reasoning with prioritized information by iterative aggregation of distance functions
We introduce a general framework for reasoning with prioritized propositional data by aggregation of distance functions. Our formalism is based on a possible world semantics, wher...
Ofer Arieli
ILP
2007
Springer
14 years 1 months ago
Learning to Assign Degrees of Belief in Relational Domains
A recurrent question in the design of intelligent agents is how to assign degrees of beliefs, or subjective probabilities, to various events in a relational environment. In the sta...
Frédéric Koriche
SP
2010
IEEE
210views Security Privacy» more  SP 2010»
13 years 11 months ago
Reconciling Belief and Vulnerability in Information Flow
Abstract—Belief and vulnerability have been proposed recently to quantify information flow in security systems. Both concepts stand as alternatives to the traditional approaches...
Sardaouna Hamadou, Vladimiro Sassone, Catuscia Pal...