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» Nonlinear model predictive control of a cutting process
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BMCBI
2007
194views more  BMCBI 2007»
15 years 1 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 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
155
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CCE
2008
15 years 1 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 8 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