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CSDA
2007
108views more  CSDA 2007»
14 years 11 months ago
Nonlinear random effects mixture models: Maximum likelihood estimation via the EM algorithm
Nonlinear random effects models with finite mixture structures are used to identify polymorphism in pharmacokinetic/ pharmacodynamic (PK/PD) phenotypes. An EM algorithm for maxim...
Xiaoning Wang, Alan Schumitzky, David Z. D'Argenio
ICRA
2003
IEEE
474views Robotics» more  ICRA 2003»
15 years 5 months ago
Mobile robot navigation using sensor fusion
Abstract— This paper considers the localizaton and navigation of a mobile robot. The control strategy is based on a nonlinear model predictive control technique that utilizes the...
Fernando C. Lizarralde, Eduardo V. L. Nunes, Liu H...
JIRS
2008
100views more  JIRS 2008»
14 years 11 months ago
Model-based Predictive Control of Hybrid Systems: A Probabilistic Neural-network Approach to Real-time Control
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
Bostjan Potocnik, Gasper Music, Igor Skrjanc, Boru...
ICASSP
2011
IEEE
14 years 3 months ago
Subspace pursuit method for kernel-log-linear models
This paper presents a novel method for reducing the dimensionality of kernel spaces. Recently, to maintain the convexity of training, loglinear models without mixtures have been u...
Yotaro Kubo, Simon Wiesler, Ralf Schlüter, He...
ICIP
2006
IEEE
16 years 1 months ago
Predictive Modeling of Video Packet Delay in IP Networks
This paper studies linear prediction algorithms for packet-delay modeling. A detailed examination of the delay traces collected from video streams encoded at different bitrates, s...
Ali C. Begen, Mehmet A. Begen, Yucel Altunbasak