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148
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ESANN
2003
15 years 4 months ago
Extraction of fuzzy rules from trained neural network using evolutionary algorithm
This paper presents our approach to the rule extraction problem from trained neural network. A method called REX is briefly described. REX acquires a set of fuzzy rules using an ev...
Urszula Markowska-Kaczmar, Wojciech Trelak
173
Voted
TSE
2010
120views more  TSE 2010»
14 years 10 months ago
Efficient Software Verification: Statistical Testing Using Automated Search
Statistical testing has been shown to be more efficient at detecting faults in software than other methods of dynamic testing such as random and structural testing. Test data are g...
Simon M. Poulding, John A. Clark
136
Voted
ICIAP
2009
ACM
16 years 4 months ago
A New Generative Feature Set Based on Entropy Distance for Discriminative Classification
Abstract. Score functions induced by generative models extract fixeddimensions feature vectors from different-length data observations by subsuming the process of data generation, ...
Alessandro Perina, Marco Cristani, Umberto Castell...
134
Voted
TPHOL
2009
IEEE
15 years 10 months ago
Formalising FinFuns - Generating Code for Functions as Data from Isabelle/HOL
Abstract. FinFuns are total functions that are constant except for a finite set of points, i.e. a generalisation of finite maps. We formalise them in Isabelle/HOL and present how...
Andreas Lochbihler
117
Voted
BMCBI
2007
140views more  BMCBI 2007»
15 years 3 months ago
From genes to functional classes in the study of biological systems
Background: With the popularisation of high-throughput techniques, the need for procedures that help in the biological interpretation of results has increased enormously. Recently...
Fátima Al-Shahrour, Leonardo Arbiza, Hern&a...