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» Two Results About Optimization of Fuzzy Variable Functions
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STOC
2005
ACM
129views Algorithms» more  STOC 2005»
14 years 8 months ago
Learning with attribute costs
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
Haim Kaplan, Eyal Kushilevitz, Yishay Mansour
GECCO
2003
Springer
123views Optimization» more  GECCO 2003»
14 years 27 days ago
Benefits of Implicit Redundant Genetic Algorithms for Structural Damage Detection in Noisy Environments
A robust structural damage detection method that can handle noisy frequency response function information is discussed. The inherent unstructured nature of damage detection problem...
Anne M. Raich, Tamás Liszkai
IPL
2010
119views more  IPL 2010»
13 years 6 months ago
Note on Max Lin-2 above Average
In the Max Lin-2 problem we are given a system S of m linear equations in n variables over F2 in which Equation j is assigned a positive integral weight wj for each j. We wish to ...
Robert Crowston, Gregory Gutin, Mark Jones
BMCBI
2008
160views more  BMCBI 2008»
13 years 7 months ago
Feature selection environment for genomic applications
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Fabrício Martins Lopes, David Correa Martin...
DILS
2007
Springer
14 years 1 months ago
Fast Approximate Duplicate Detection for 2D-NMR Spectra
2D-Nuclear magnetic resonance (NMR) spectroscopy is a powerful analytical method to elucidate the chemical structure of molecules. In contrast to 1D-NMR spectra, 2D-NMR spectra cor...
Björn Egert, Steffen Neumann, Alexander Hinne...