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GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
13 years 11 months ago
Characterizing large text corpora using a maximum variation sampling genetic algorithm
An enormous amount of information available via the Internet exists. Much of this data is in the form of text-based documents. These documents cover a variety of topics that are v...
Robert M. Patton, Thomas E. Potok
NIPS
2004
13 years 9 months ago
Variational Minimax Estimation of Discrete Distributions under KL Loss
We develop a family of upper and lower bounds on the worst-case expected KL loss for estimating a discrete distribution on a finite number m of points, given N i.i.d. samples. Our...
Liam Paninski
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 8 months ago
Rank based variation operators for genetic algorithms
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Jorge Cervantes, Christopher R. Stephens
TVCG
2012
210views Hardware» more  TVCG 2012»
11 years 10 months ago
Scalable Multivariate Volume Visualization and Analysis Based on Dimension Projection and Parallel Coordinates
—In this paper, we present an effective and scalable system for multivariate volume data visualization and analysis with a novel transfer function interface design that tightly c...
Hanqi Guo, He Xiao, Xiaoru Yuan
PIMRC
2010
IEEE
13 years 5 months ago
Multi-dimensional K-factor analysis for V2V radio channels in open sub-urban street crossings
In this paper we analyze the Ricean K-factor for vehicle-to-vehicle (V2V) communications in a typical open suburban street crossing. The channel conditions vary from non line-of si...
Laura Bernadó, Thomas Zemen, Johan Karedal,...