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» Using Gaussian Processes to Optimize Expensive Functions
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JMLR
2002
137views more  JMLR 2002»
13 years 10 months ago
The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
Masashi Sugiyama, Klaus-Robert Müller
TSP
2012
12 years 6 months ago
Optimized Compact-Support Interpolation Kernels
Abstract—In this paper, we investigate the problem of designing compact-support interpolation kernels for a given class of signals. By using calculus of variations, we simplify t...
Ramtin Madani, Ali Ayremlou, Arash Amini, Farrokh ...
SIAMSC
2010
141views more  SIAMSC 2010»
13 years 8 months ago
An Iterative Method for Edge-Preserving MAP Estimation When Data-Noise Is Poisson
In numerous applications of image processing, e.g. astronomical and medical imaging, data-noise is well-modeled by a Poisson distribution. This motivates the use of the negative-lo...
Johnathan M. Bardsley, John Goldes
CEC
2009
IEEE
14 years 5 months ago
An adaptive coevolutionary Differential Evolution algorithm for large-scale optimization
— In this paper, we propose a new algorithm, named JACC-G, for large scale optimization problems. The motivation is to improve our previous work on grouping and adaptive weightin...
Zhenyu Yang, Jingqiao Zhang, Ke Tang, Xin Yao, Art...
JCB
2000
137views more  JCB 2000»
13 years 10 months ago
NOTUNG: A Program for Dating Gene Duplications and Optimizing Gene Family Trees
Large scale gene duplication is a major force driving the evolution of genetic functional innovation. Whole genome duplications are widely believed to have played an important rol...
Kevin Chen, Dannie Durand, Martin Farach-Colton