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» Hierarchical genetic programming based on test input subsets
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ICPR
2008
IEEE
13 years 11 months ago
A feature selection algorithm for handwritten character recognition
We present a Genetic Algorithm based feature selection approach according to which feature subsets are represented by individuals of an evolving population. Evolution is controlle...
Luigi P. Cordella, Claudio De Stefano, Francesco F...
GECCO
2008
Springer
130views Optimization» more  GECCO 2008»
13 years 6 months ago
VoIP speech quality estimation in a mixed context with genetic programming
Voice over IP (VoIP) speech quality estimation is crucial to providing optimal Quality of Service (QoS). This paper seeks to provide improved speech quality estimation models with...
Adil Raja, R. Muhammad Atif Azad, Colin Flanagan, ...
VTS
2002
IEEE
120views Hardware» more  VTS 2002»
13 years 10 months ago
Software-Based Weighted Random Testing for IP Cores in Bus-Based Programmable SoCs
We present a software-based weighted random pattern scheme for testing delay faults in IP cores of programmable SoCs. We describe a method for determining static and transition pr...
Madhu K. Iyer, Kwang-Ting Cheng
GECCO
2010
Springer
169views Optimization» more  GECCO 2010»
13 years 8 months ago
Robust symbolic regression with affine arithmetic
We use affine arithmetic to improve both the performance and the robustness of genetic programming for symbolic regression. During evolution, we use affine arithmetic to analyze e...
Cassio Pennachin, Moshe Looks, João A. de V...
BMCBI
2010
151views more  BMCBI 2010»
13 years 5 months ago
Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
Zhanchao Li, Xuan Zhou, Zong Dai, Xiaoyong Zou