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» Test generation through programming in UDITA
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CEC
2007
IEEE
13 years 11 months ago
Mining association rules from databases with continuous attributes using genetic network programming
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. Discretization is a process of transforming a continuous attribute...
Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shing...
HAPTICS
2010
IEEE
14 years 18 days ago
A Turing-Like Handshake Test for Motor Intelligence
In the Turing test, a computer model is deemed to “think intelligently” if it can generate answers that are not distinguishable from those of a human. This test is limited to t...
Amir Karniel, Ilana Nisky, Guy Avraham, Bat-Chen P...
ICSE
2008
IEEE-ACM
14 years 8 months ago
Sufficient mutation operators for measuring test effectiveness
Mutants are automatically-generated, possibly faulty variants of programs. The mutation adequacy ratio of a test suite is the ratio of non-equivalent mutants it is able to identif...
Akbar Siami Namin, James H. Andrews, Duncan J. Mur...
MEMOCODE
2010
IEEE
13 years 5 months ago
LTSs for translation validation of (multi-clocked) SIGNAL specifications
Design of critical embedded systems demands for guarantees on the reliability of the implementation/compilation of a specification. In general, this guarantee takes either the form...
Julio C. Peralta, Thierry Gautier, Loïc Besna...
CEC
2007
IEEE
14 years 1 months ago
Computational intelligence algorithms for risk-adjusted trading strategies
Abstract— This paper investigates the performance of trading strategies identified through Computational Intelligence techniques. We focus on trading rules derived by Genetic Pr...
Nicos G. Pavlidis, E. G. Pavlidis, Michael G. Epit...