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» Using Gaussian Processes to Optimize Expensive Functions
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SODA
2004
ACM
137views Algorithms» more  SODA 2004»
13 years 10 months ago
The Bloomier filter: an efficient data structure for static support lookup tables
We introduce the Bloomier filter, a data structure for compactly encoding a function with static support in order to support approximate evaluation queries. Our construction gener...
Bernard Chazelle, Joe Kilian, Ronitt Rubinfeld, Ay...
TASE
2008
IEEE
13 years 9 months ago
Vision-Based Online Process Control in Manufacturing Applications
Applications such as layered manufacturing, or in general, solid free-form fabrication, pose a major challenge on online process control. For these parts to be functional, it is i...
Yuan Cheng, Mohsen A. Jafari
ICML
2010
IEEE
13 years 10 months ago
Budgeted Nonparametric Learning from Data Streams
We consider the problem of extracting informative exemplars from a data stream. Examples of this problem include exemplarbased clustering and nonparametric inference such as Gauss...
Ryan Gomes, Andreas Krause
ICDE
2006
IEEE
163views Database» more  ICDE 2006»
14 years 10 months ago
A Sampling-Based Approach to Optimizing Top-k Queries in Sensor Networks
Wireless sensor networks generate a vast amount of data. This data, however, must be sparingly extracted to conserve energy, usually the most precious resource in battery-powered ...
Adam Silberstein, Carla Schlatter Ellis, Jun Yang ...
IFIP
2005
Springer
14 years 2 months ago
Numerical Approximation of a Control Problem for Advection-Diffusion Processes
Two different approaches are proposed to enhance the efficiency of the numerical resolution of optimal control problems governed by a linear advection– diffusion equation. In ...
Alfio Quarteroni, Gianluigi Rozza, L. Dedè,...