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ICASSP
2010
IEEE
15 years 1 months ago
Enhancing sparsity in linear prediction of speech by iteratively reweighted 1-norm minimization
Linear prediction of speech based on 1-norm minimization has already proved to be an interesting alternative to 2-norm minimization. In particular, choosing the 1-norm as a convex...
Daniele Giacobello, Mads Græsbøll Chr...
AUTOMATICA
2008
114views more  AUTOMATICA 2008»
15 years 1 months ago
A synthesis approach for output feedback robust constrained model predictive control
This paper addresses the synthesis approach to output feedback robust model predictive control for systems with polytopic description, bounded state disturbance and measurement no...
BaoCang Ding, YuGeng Xi, Marcin T. Cychowski, Thom...
BMCBI
2010
115views more  BMCBI 2010»
15 years 1 months ago
Machine learning methods for metabolic pathway prediction
Background: A key challenge in systems biology is the reconstruction of an organism's metabolic network from its genome sequence. One strategy for addressing this problem is ...
Joseph M. Dale, Liviu Popescu, Peter D. Karp
CSDA
2010
94views more  CSDA 2010»
15 years 1 months ago
Implementing Bayesian predictive procedures: The K-prime and K-square distributions
The implementation of Bayesian predictive procedures under standard normal models is considered. Two distributions are of particular interest, the K-prime and Ksquare distribution...
Jacques Poitevineau, Bruno Lecoutre
AUTOMATICA
2006
150views more  AUTOMATICA 2006»
15 years 1 months ago
Enlarging the terminal region of nonlinear model predictive control using the support vector machine method
In this paper, Receding Horizon Model Predictive Control (RHMPC) of nonlinear systems subject to input and state constraints is considered. We propose to estimate the terminal reg...
Chong Jin Ong, Dan Sui, Elmer G. Gilbert