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» Using Gaussian Processes to Optimize Expensive Functions
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INFOCOM
2008
IEEE
14 years 2 months ago
AdapCode: Adaptive Network Coding for Code Updates in Wireless Sensor Networks
—Code updates, such as those for debugging purposes, are frequent and expensive in the early development stages of wireless sensor network applications. We propose AdapCode, a re...
I-Hong Hou, Yu-En Tsai, Tarek F. Abdelzaher, Indra...
ECML
2006
Springer
13 years 11 months ago
Bayesian Active Learning for Sensitivity Analysis
Abstract. Designs of micro electro-mechanical devices need to be robust against fluctuations in mass production. Computer experiments with tens of parameters are used to explore th...
Tobias Pfingsten
TNN
2011
107views more  TNN 2011»
13 years 2 months ago
Iterative Gaussianization: From ICA to Random Rotations
Abstract—Most signal processing problems involve the challenging task of multidimensional probability density function (PDF) estimation. In this paper, we propose a solution to t...
Valero Laparra, Gustavo Camps-Valls, Jesus Malo
VLDB
2007
ACM
147views Database» more  VLDB 2007»
14 years 7 months ago
A General Framework for Modeling and Processing Optimization Queries
An optimization query asks for one or more data objects that maximize or minimize some function over the data set. We propose a general class of queries, model-based optimization ...
Michael Gibas, Ning Zheng, Hakan Ferhatosmanoglu
TIT
1998
216views more  TIT 1998»
13 years 7 months ago
Data Compression and Harmonic Analysis
In this article we review some recent interactions between harmonic analysis and data compression. The story goes back of course to Shannon’s R(D) theory in the case of Gaussian...
David L. Donoho, Martin Vetterli, Ronald A. DeVore...