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IIS
2000
13 years 11 months ago
Optimization and Interpretation of Rule-based Classifiers
Machine learning methods are frequently used to create rule-based classifiers. For continuous features linguistic variables used in conditions of the rules are defined by membershi...
Wlodzislaw Duch, Norbert Jankowski, Krzysztof Grab...
EVOW
2008
Springer
13 years 11 months ago
An Evolutionary Approach for Ontology Driven Image Interpretation
Image mining and interpretation is a quite complex process. In this article, we propose to model expert knowledge on objects present in an image through an ontology. This ontology ...
Germain Forestier, Sébastien Derivaux, C&ea...
ICALP
2011
Springer
13 years 1 months ago
Probabilistic Bisimulation and Simulation Algorithms by Abstract Interpretation
act Interpretation SILVIA CRAFA FRANCESCO RANZATO University of Padova, Italy We show how bisimulation equivalence and simulation preorder on probabilistic LTSs (PLTSs), namely the...
Silvia Crafa, Francesco Ranzato
SIAMSC
2010
95views more  SIAMSC 2010»
13 years 8 months ago
Interpreting IDR as a Petrov--Galerkin Method
The IDR method of Sonneveld and van Gijzen [SIAM J. Sci. Comput., 31:1035–1062, 2008] is shown to be a Petrov-Galerkin (projection) method with a particular choice of left Krylov...
Valeria Simoncini, Daniel B. Szyld
ECSQARU
2009
Springer
14 years 4 months ago
The Probabilistic Interpretation of Model-Based Diagnosis
Model-based diagnosis is the field of research concerned with the problem of finding faults ms by reasoning with abstract models of the systems. Typically, such models offer a ...
Ildikó Flesch, Peter J. F. Lucas