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» Nonlinear Predictive Control with a Gaussian Process Model
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ICASSP
2010
IEEE
15 years 2 months ago
Quantifying EEG synchrony using copulas
In this paper, we consider the problem of quantifying synchrony between multiple simultaneously recorded electroencephalographic signals. These signals exhibit nonlinear dependenc...
Satish G. Iyengar, Justin Dauwels, Pramod K. Varsh...
ICMLA
2008
15 years 3 months ago
Adaptive Control of Antilock Braking System Using Grey Multilayer Feedforward Neural Networks
In this paper, a grey neuro-adaptive control algorithm is suggested for Antilock Braking Systems (ABS). The concept of grey system theory, which has a certain prediction capabilit...
Erdal Kayacan, Yesim Oniz, Okyay Kaynak, Andon V. ...
NIPS
1997
15 years 3 months ago
Using Expectation to Guide Processing: A Study of Three Real-World Applications
In many real world tasks, only a small fraction of the available inputs are important at any particular time. This paper presents a method for ascertaining the relevance of inputs...
Shumeet Baluja
ICCAD
2006
IEEE
113views Hardware» more  ICCAD 2006»
15 years 10 months ago
A new statistical max operation for propagating skewness in statistical timing analysis
Statistical static timing analysis (SSTA) is emerging as a solution for predicting the timing characteristics of digital circuits under process variability. For computing the stat...
Kaviraj Chopra, Bo Zhai, David Blaauw, Dennis Sylv...
CCE
2008
15 years 2 months ago
Chance constrained programming approach to process optimization under uncertainty
Deterministic optimization approaches have been well developed and widely used in the process industry to accomplish off-line and on-line process optimization. The challenging tas...
Pu Li, Harvey Arellano-Garcia, Günter Wozny