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» A Logical Framework to Deal with Variability
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AIIA
2005
Springer
15 years 5 months ago
Handling Continuous-Valued Attributes in Incremental First-Order Rules Learning
Machine Learning systems are often distinguished according to the kind of representation they use, which can be either propositional or first-order logic. The framework working wi...
Teresa Maria Altomare Basile, Floriana Esposito, N...
ECSQARU
2005
Springer
15 years 5 months ago
A Possibilistic Inconsistency Handling in Answer Set Programming
Abstract. Both in classical logic and in Answer Set Programming, inconsistency is characterized by non existence of a model. Whereas every formula is a theorem for inconsistent set...
Pascal Nicolas, Laurent Garcia, Igor Stépha...
IBERAMIA
2004
Springer
15 years 5 months ago
Decomposing Ordinal Sums in Neural Multi-adjoint Logic Programs
The theory of multi-adjoint logic programs has been introduced as a unifying framework to deal with uncertainty, imprecise data or incomplete information. From the applicative part...
Jesús Medina, Enrique Mérida Caserme...
CISSE
2008
Springer
15 years 1 months ago
From Constraints to Resolution Rules Part I : conceptual framework
: Many real world problems appear naturally as constraints satisfaction problems (CSP), for which very efficient algorithms are known. Most of these involve the combination of two ...
Denis Berthier
EUSFLAT
2003
143views Fuzzy Logic» more  EUSFLAT 2003»
15 years 1 months ago
Prediction of surface roughness in ultraprecision turning using fuzzy logic
Ultraprecision turning is a manufacturing process used to generate a high surface roughness in precision components, and its input-output relationships are highly nonlinear. Surfa...
Arup Kumar Nandi