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» Using Gaussian Processes to Optimize Expensive Functions
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CEC
2008
IEEE
14 years 22 days ago
Multilevel cooperative coevolution for large scale optimization
In this paper, we propose a multilevel cooperative coevolution (MLCC) framework for large scale optimization problems. The motivation is to improve our previous work on grouping ba...
Zhenyu Yang, Ke Tang, Xin Yao
NN
2007
Springer
267views Neural Networks» more  NN 2007»
13 years 10 months ago
Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
Rui Xu, Ganesh K. Venayagamoorthy, Donald C. Wunsc...
TOG
2002
129views more  TOG 2002»
13 years 10 months ago
Fast bilateral filtering for the display of high-dynamic-range images
We present a new technique for the display of high-dynamic-range images, which reduces the contrast while preserving detail. It is based on a two-scale decomposition of the image ...
Frédo Durand, Julie Dorsey
CASES
2004
ACM
14 years 4 months ago
A low power architecture for embedded perception
Recognizing speech, gestures, and visual features are important interface capabilities for future embedded mobile systems. Unfortunately, the real-time performance requirements of...
Binu K. Mathew, Al Davis, Michael Parker
NIPS
2008
14 years 5 days ago
Bayesian Kernel Shaping for Learning Control
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...