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ENGL
2008
102views more  ENGL 2008»
13 years 9 months ago
Adaptive Sliding Mode Control with PID Tuning for Uncertain Systems
This paper proposes a novel adaptive sliding mode control with PID tuning method for a class of uncertain systems. The goal is to achieve system robustness against parameter variat...
T. C. Kuo, Y. J. Huang, C. Y. Chen, C. H. Chang
ICIP
2003
IEEE
14 years 10 months ago
Adaptive Bayesian networks for video processing
Due to its static nature, the inference capability of Bayesian Networks (BNs) often deteriorates when the basis of input data varies, especially in video processing applications w...
Benny P. L. Lo, Surapa Thiemjarus, Guang-Zhong Yan...
BMCBI
2008
107views more  BMCBI 2008»
13 years 9 months ago
Probe-specific mixed-model approach to detect copy number differences using multiplex ligation-dependent probe amplification (ML
Background: MLPA method is a potentially useful semi-quantitative method to detect copy number alterations in targeted regions. In this paper, we propose a method for the normaliz...
Juan R. González, Josep L. Carrasco, Llu&ia...
JMLR
2006
143views more  JMLR 2006»
13 years 9 months ago
Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation
We study a sequential variance reduction technique for Monte Carlo estimation of functionals in Markov Chains. The method is based on designing sequential control variates using s...
Rémi Munos
CORR
2008
Springer
147views Education» more  CORR 2008»
13 years 9 months ago
A Minimum Relative Entropy Principle for Learning and Acting
This paper proposes a method to construct an adaptive agent that is universal with respect to a given class of experts, where each expert is designed specifically for a particular...
Pedro A. Ortega, Daniel A. Braun