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» Using Gaussian Processes to Optimize Expensive Functions
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96
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CORR
2007
Springer
120views Education» more  CORR 2007»
15 years 2 months ago
On the Feedback Capacity of Power Constrained Gaussian Noise Channels with Memory
—For a stationary additive Gaussian-noise channel with a rational noise power spectrum of a finite-order L, we derive two new results for the feedback capacity under an average ...
Shaohua Yang, Aleksandar Kavcic, Sekhar Tatikonda
ICIP
1995
IEEE
16 years 3 months ago
A lattice vector quantizer for generalized Gaussian sources
A fixed-rate lattice vector quantizer for generalized Gaussian (GG) sources is presented. By using the contour of counstant probability of a generalized Gaussian source to bound t...
Feng Chen, Zheng Gao, John D. Villasenor
106
Voted
JSAC
2007
108views more  JSAC 2007»
15 years 2 months ago
Optimal relay functionality for SNR maximization in memoryless relay networks
We explore the SNR-optimal relay functionality in a memoryless relay network, i.e. a network where, during each channel use, the signal transmitted by a relay depends only on the ...
Krishna Srikanth Gomadam, Syed Ali Jafar
JCPHY
2011
192views more  JCPHY 2011»
14 years 5 months ago
Fast analysis of molecular dynamics trajectories with graphics processing units - Radial distribution function histogramming
The calculation of radial distribution functions (RDFs) from molecular dynamics trajectory data is a common and computationally expensive analysis task. The rate limiting step in ...
Benjamin G. Levine, John E. Stone, Axel Kohlmeyer
PPSN
2004
Springer
15 years 7 months ago
Constrained Evolutionary Optimization by Approximate Ranking and Surrogate Models
Abstract. The paper describes an evolutionary algorithm for the general nonlinear programming problem using a surrogate model. Surrogate models are used in optimization when model ...
Thomas Philip Runarsson