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» Function Optimization with Coevolutionary Algorithms
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GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
16 years 5 days ago
Nonlinear feature extraction using a neuro genetic hybrid
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
Yung-Keun Kwon, Byung Ro Moon
GECCO
2006
Springer
167views Optimization» more  GECCO 2006»
15 years 10 months ago
Genomic computing networks learn complex POMDPs
A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
David J. Montana, Eric Van Wyk, Marshall Brinn, Jo...
ICML
2010
IEEE
15 years 7 months ago
Budgeted Nonparametric Learning from Data Streams
We consider the problem of extracting informative exemplars from a data stream. Examples of this problem include exemplarbased clustering and nonparametric inference such as Gauss...
Ryan Gomes, Andreas Krause
CGF
2008
148views more  CGF 2008»
15 years 6 months ago
Automatic Registration for Articulated Shapes
We present an unsupervised algorithm for aligning a pair of shapes in the presence of significant articulated motion and missing data, while assuming no knowledge of a template, u...
Will Chang, Matthias Zwicker
CIDR
2011
249views Algorithms» more  CIDR 2011»
14 years 10 months ago
The Case for Predictive Database Systems: Opportunities and Challenges
This paper argues that next generation database management systems should incorporate a predictive model management component to effectively support both inward-facing application...
Mert Akdere, Ugur Çetintemel, Matteo Rionda...