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NN
2007
Springer
162views Neural Networks» more  NN 2007»
13 years 6 months ago
Learning grammatical structure with Echo State Networks
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...
CDC
2008
IEEE
109views Control Systems» more  CDC 2008»
14 years 1 months ago
MPC for tracking with optimal closed-loop performance
— This paper deals with the tracking problem for constrained linear systems using a model predictive control (MPC) law. As it is well known, MPC provides a control law suitable f...
Antonio Ferramosca, Daniel Limón, Ignacio A...
CDC
2008
IEEE
130views Control Systems» more  CDC 2008»
14 years 1 months ago
Predictor estimation via Gaussian regression
Abstract— A novel nonparametric paradigm to model identification has been recently proposed where, in place of postulating finite-dimensional models of the system transfer func...
Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe ...
CDC
2010
IEEE
196views Control Systems» more  CDC 2010»
13 years 2 months ago
Convergence and convergence rate of stochastic gradient search in the case of multiple and non-isolated extrema
The asymptotic behavior of stochastic gradient algorithms is studied. Relying on some results of differential geometry (Lojasiewicz gradient inequality), the almost sure pointconve...
Vladislav B. Tadic
BMCBI
2011
12 years 10 months ago
PRIN, a predicted rice interactome network
Background: Protein-protein interactions play a fundamental role in elucidating the molecular mechanisms of biomolecular function, signal transductions and metabolic pathways of l...
Haibin Gu, Pengcheng Zhu, Yinming Jiao, Yijun Meng...