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» Using Gaussian Processes to Optimize Expensive Functions
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ICDE
2011
IEEE
238views Database» more  ICDE 2011»
12 years 11 months ago
Join queries on uncertain data: Semantics and efficient processing
— Uncertain data is quite common nowadays in a variety of modern database applications. At the same time, the join operation is one of the most important but expensive operations...
Tingjian Ge
GECCO
2004
Springer
116views Optimization» more  GECCO 2004»
14 years 1 months ago
Using Genetic Programming to Obtain a Closed-Form Approximation to a Recursive Function
Abstract. We demonstrate a fully automated method for obtaining a closedform approximation of a recursive function. This method resulted from a realworld problem in which we had a ...
Evan Kirshenbaum, Henri Jacques Suermondt
TCAD
2008
114views more  TCAD 2008»
13 years 7 months ago
Test-Quality/Cost Optimization Using Output-Deviation-Based Reordering of Test Patterns
At-speed functional testing, delay testing, and n-detection test sets are being used today to detect deep submicrometer defects. However, the resulting test data volumes are too hi...
Zhanglei Wang, Krishnendu Chakrabarty
ICASSP
2008
IEEE
14 years 2 months ago
Blind optimization of algorithm parameters for signal denoising by Monte-Carlo SURE
We consider the problem of optimizing the parameters of an arbitrary denoising algorithm by minimizing Stein’s Unbiased Risk Estimate (SURE) which provides a means of assessing ...
Sathish Ramani, Thierry Blu, Michael Unser
CDC
2009
IEEE
144views Control Systems» more  CDC 2009»
13 years 8 months ago
A minimized zero mean entropy approach to networked control systems
A novel control method is proposed for networked control systems with nonlinear process, probably non-Gaussian process noise and time delays. The performance index of closed loop c...
Jianhua Zhang, Hong Wang 0001