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EMO
2006
Springer
120views Optimization» more  EMO 2006»
15 years 8 months ago
Rule Induction for Classification Using Multi-objective Genetic Programming
Multi-objective metaheuristics have previously been applied to partial classification, where the objective is to produce simple, easy to understand rules that describe subsets of a...
Alan P. Reynolds, Beatriz de la Iglesia
IJISTA
2007
119views more  IJISTA 2007»
15 years 6 months ago
Online modelling based on Genetic Programming
: Genetic Programming (GP), a heuristic optimisation technique based on the theory of Genetic Algorithms (GAs), is a method successfully used to identify non-linear model structure...
Stephan M. Winkler, Hajrudin Efendic, Luigi del Re...
CMPB
2000
69views more  CMPB 2000»
15 years 6 months ago
Microcomputer program for automated action potential waveform analysis
A program for action potential waveform analysis based on a PC compatible computer is described. Single or averaged action potentials are analyzed by obtaining its first derivativ...
Enrique Soto, Emilio Salceda, Ricardo Cruz, Aida O...
TRUST
2010
Springer
15 years 4 months ago
SegSlice: Towards a New Class of Secure Programming Primitives for Trustworthy Platforms
The TPM is a fairly passive entity. As a result, it can be difficult to involve the TPM in measurements of software trustworthiness beyond simple load-time hashing of static progra...
Sergey Bratus, Michael E. Locasto, Brian Schulte
EUROGP
2009
Springer
130views Optimization» more  EUROGP 2009»
16 years 1 months ago
One-Class Genetic Programming
One-class classification naturally only provides one-class of exemplars, the target class, from which to construct the classification model. The one-class approach is constructed...
Robert Curry, Malcolm I. Heywood