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» Using Gaussian Processes to Optimize Expensive Functions
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SIAMSC
2011
177views more  SIAMSC 2011»
13 years 4 months ago
Computing f(A)b via Least Squares Polynomial Approximations
Given a certain function f, various methods have been proposed in the past for addressing the important problem of computing the matrix-vector product f(A)b without explicitly comp...
Jie Chen, Mihai Anitescu, Yousef Saad
ARC
2008
Springer
95views Hardware» more  ARC 2008»
13 years 11 months ago
The Instruction-Set Extension Problem: A Survey
Over the last years, we have witnessed the increased use of Application-Specific Instruction-Set Processors (ASIPs). These ASIPs are processors that have a customizable instruction...
Carlo Galuzzi, Koen Bertels
BIOADIT
2004
Springer
14 years 2 months ago
Explaining Low-Level Brightness-Contrast Illusions Using Disinhibition
Conventional Difference of Gaussian (DOG) filter is usually used to model the early stage of visual processing. However, convolution operation used with DOG does not explicitly a...
Yingwei Yu, Takashi Yamauchi, Yoonsuck Choe
AMC
2008
94views more  AMC 2008»
13 years 9 months ago
Modeling and inversion of net ecological exchange data using an Ito stochastic differential equation approach
A system of stochastic differential equations is studied describing a compartmental carbon transfer model that includes uncertainties arising in the model from environmental and p...
Luther White, Yiqi Luo
MCS
2005
Springer
14 years 2 months ago
Between Two Extremes: Examining Decompositions of the Ensemble Objective Function
We study how the error of an ensemble regression estimator can be decomposed into two components: one accounting for the individual errors and the other accounting for the correlat...
Gavin Brown, Jeremy L. Wyatt, Ping Sun