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» Nonlinear model predictive control of a cutting process
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BMCBI
2007
194views more  BMCBI 2007»
14 years 12 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
ICMLA
2008
15 years 1 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 1 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
CCE
2008
14 years 12 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
ICRA
2008
IEEE
129views Robotics» more  ICRA 2008»
15 years 6 months ago
Modeling of a closed loop cable-conduit transmission system
— Many surgical robots use cable-conduit pairs in a pull-pull configuration to actuate the instruments and transmit power into the patient’s body. Friction between the cable an...
Varun Agrawal, William J. Peine, Bin Yao