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» Scaling eCGA model building via data-intensive computing
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CEC
2010
IEEE
13 years 4 months ago
Scaling eCGA model building via data-intensive computing
Abhishek Verma, Xavier Llorà, Shivaram Venk...
GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
13 years 10 months ago
Combining competent crossover and mutation operators: a probabilistic model building approach
This paper presents an approach to combine competent crossover and mutation operators via probabilistic model building. Both operators are based on the probabilistic model buildin...
Cláudio F. Lima, Kumara Sastry, David E. Go...
ICCV
2011
IEEE
12 years 4 months ago
RECON: Scale-Adaptive Robust Estimation via Residual Consensus
In this paper, we present a novel, threshold-free robust estimation framework capable of efficiently fitting models to contaminated data. While RANSAC and its many variants have...
Rahul Raguram, Jan-Michael Frahm
JCNS
2000
165views more  JCNS 2000»
13 years 4 months ago
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientati
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
Duane Q. Nykamp, Daniel Tranchina
CCGRID
2006
IEEE
13 years 8 months ago
Compilation of XSLT into Dataflow Graphs for Web Service Composition
Our current research into programming models for parallel web services composition is targeted at providing mechanisms for obtaining higher throughput for large scale compute and ...
Peter M. Kelly, Paul D. Coddington, Andrew L. Wend...