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» Using Gaussian Processes to Optimize Expensive Functions
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GECCO
2008
Springer
154views Optimization» more  GECCO 2008»
15 years 2 months ago
Automated shape composition based on cell biology and distributed genetic programming
Motivated by the ability of living cells to form specific shapes and structures, we present a computational approach using distributed genetic programming to discover cell-cell i...
Linge Bai, Manolya Eyiyurekli, David E. Breen
ISCA
2010
IEEE
229views Hardware» more  ISCA 2010»
14 years 12 months ago
Understanding sources of inefficiency in general-purpose chips
Due to their high volume, general-purpose processors, and now chip multiprocessors (CMPs), are much more cost effective than ASICs, but lag significantly in terms of performance a...
Rehan Hameed, Wajahat Qadeer, Megan Wachs, Omid Az...
CEC
2009
IEEE
15 years 8 months ago
Evolving modular neural-networks through exaptation
— Despite their success as optimization methods, evolutionary algorithms face many difficulties to design artifacts with complex structures. According to paleontologists, living...
Jean-Baptiste Mouret, Stéphane Doncieux
JMLR
2006
131views more  JMLR 2006»
15 years 1 months ago
On Representing and Generating Kernels by Fuzzy Equivalence Relations
Kernels are two-placed functions that can be interpreted as inner products in some Hilbert space. It is this property which makes kernels predestinated to carry linear models of l...
Bernhard Moser
TIP
2008
127views more  TIP 2008»
15 years 1 months ago
SURE-LET Multichannel Image Denoising: Interscale Orthonormal Wavelet Thresholding
Abstract--We propose a vector/matrix extension of our denoising algorithm initially developed for grayscale images, in order to efficiently process multichannel (e.g., color) image...
Florian Luisier, Thierry Blu