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» Robust Feature Selection Algorithms
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GECCO
2008
Springer
147views Optimization» more  GECCO 2008»
13 years 10 months ago
On selecting the best individual in noisy environments
In evolutionary algorithms, the typical post-processing phase involves selection of the best-of-run individual, which becomes the final outcome of the evolutionary run. Trivial f...
Wojciech Jaskowski, Wojciech Kotlowski
GECCO
2005
Springer
122views Optimization» more  GECCO 2005»
14 years 2 months ago
An enhanced GA to improve the search process reliability in tuning of control systems
Evolutionary Algorithms (EAs) have been largely applied to optimisation and synthesis of controllers. In spite of several successful applications and competitive solutions, the st...
Andrea Soltoggio
DFT
2008
IEEE
82views VLSI» more  DFT 2008»
14 years 3 months ago
Selective Hardening of NanoPLA Circuits
Nanoelectronic components are expected to suffer from very high error rates, implying the need for hardening techniques. We propose a fine-grained approach to harden a promising...
Ilia Polian, Wenjing Rao
CONEXT
2005
ACM
13 years 11 months ago
TIE breaking: tunable interdomain egress selection
— The separation of intradomain and interdomain routing has been a key feature of the Internet’s routing architecture from the early days of the ARPAnet. However, the appropria...
Renata Teixeira, Timothy G. Griffin, Mauricio G. C...
ICPR
2010
IEEE
13 years 9 months ago
Improved Mean Shift Algorithm with Heterogeneous Node Weights
The conventional mean shift algorithm has been known to be sensitive to selecting a bandwidth. We present a robust mean shift algorithm with heterogeneous node weights that come f...
Ji Won Yoon, Simon P. Wilson