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» Extremal Optimization: Methods derived from Co-Evolution
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CEJCS
2011
78views more  CEJCS 2011»
12 years 7 months ago
Good versus optimal: Why network analytic methods need more systematic evaluation
: Network analytic method designed for the analysis of static networks promise to identify significant relational patterns that correlate with important structures in the complex ...
Katharina Anna Zweig
WSC
2000
13 years 8 months ago
Low cost response surface methods for and from simulation optimization
We propose "low cost response surface methods" (LCRSM) that typically require half the experimental runs of standard response surface methods based on central composite ...
Theodore Allen, Liyang Yu
TSP
2010
13 years 2 months ago
Reduced feedback schemes using random beamforming in MIMO broadcast channels
A random beamforming scheme for the Gaussian MIMO broadcast channel with channel quality feedback is investigated and extended. Considering the case where the receivers each have r...
Matthew Pugh, Bhaskar D. Rao
3DIM
1997
IEEE
13 years 11 months ago
3-D Modeling from Range Imagery: An Incremental Method with a Planning Component
In this article we present a method for automatically constructing a solid (in the CAD sense) model of an unknown object from range images. The model acquisition system provides f...
Michael K. Reed, Peter K. Allen, Ioannis Stamos
JMLR
2012
11 years 10 months ago
Generic Methods for Optimization-Based Modeling
“Energy” models for continuous domains can be applied to many problems, but often suffer from high computational expense in training, due to the need to repeatedly minimize t...
Justin Domke