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ICML
1998
IEEE
14 years 8 months ago
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
Andrew W. Moore, Jeff G. Schneider, Justin A. Boya...
ICC
2009
IEEE
142views Communications» more  ICC 2009»
14 years 2 months ago
Localized Sensor Self-Deployment for Guaranteed Coverage Radius Maximization
—Focused coverage is defined as the coverage of a wireless sensor network surrounding a point of interest (POI), and is measured by coverage radius, i.e., minimum distance from ...
Xu Li, Hannes Frey, Nicola Santoro, Ivan Stojmenov...
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
14 years 15 days ago
The maximum hypervolume set yields near-optimal approximation
In order to allow a comparison of (otherwise incomparable) sets, many evolutionary multiobjective optimizers use indicator functions to guide the search and to evaluate the perfor...
Karl Bringmann, Tobias Friedrich
GECCO
2007
Springer
211views Optimization» more  GECCO 2007»
14 years 1 months ago
Multi-objective univariate marginal distribution optimisation of mixed analogue-digital signal circuits
Design for specific customer service plays a crucial role for the majority of the market in modern electronics. However, adaptability to an individual customer results in increasi...
Lyudmila Zinchenko, Matthias Radecker, Fabio Bisog...
ICPR
2000
IEEE
14 years 8 months ago
Optimal Color Composition Matching of Images
Color features are among the most important features used in image database retrieval, especially in cases where no additional semantic information is available. Due to its compac...
Jianying Hu, Aleksandra Mojsilovic