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AUTOMATICA
2005
108views more  AUTOMATICA 2005»
13 years 7 months ago
Robust optimal control of regular languages
This paper presents an algorithm for robust optimal control of regular languages under specified uncertainty bounds on the event cost parameters of the language measure that has b...
Constantino M. Lagoa, Jinbo Fu, Asok Ray
JSAC
2007
104views more  JSAC 2007»
13 years 7 months ago
Tomlinson-Harashima Precoding for Broadcast Channels with Uncertainty
— We consider the design of Tomlinson-Harashima (TH) precoders for broadcast channels in the presence of channel uncertainty. For systems in which uplink-downlink reciprocity is ...
Michael Botros Shenouda, Timothy N. Davidson
BMCBI
2007
102views more  BMCBI 2007»
13 years 7 months ago
qPIPSA: Relating enzymatic kinetic parameters and interaction fields
Background: The simulation of metabolic networks in quantitative systems biology requires the assignment of enzymatic kinetic parameters. Experimentally determined values are ofte...
Razif R. Gabdoulline, Matthias Stein, Rebecca C. W...
IROS
2009
IEEE
168views Robotics» more  IROS 2009»
14 years 2 months ago
Heart surface motion estimation framework for robotic surgery employing meshless methods
Abstract— A novel heart surface motion estimation framework for a robotic surgery on a stabilized beating heart is proposed. It includes an approach for the reconstruction and pr...
Evgeniya Bogatyrenko, Uwe D. Hanebeck, Gábo...
NIPS
1998
13 years 9 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis