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AAAI
2006
15 years 8 months ago
Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
The Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent parame...
David Wingate, Satinder P. Singh
JMLR
2006
105views more  JMLR 2006»
15 years 6 months ago
Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems
We introduce a method for approximate smoothed inference in a class of switching linear dynamical systems, based on a novel form of Gaussian Sum smoother. This class includes the ...
David Barber
MMAS
2011
Springer
15 years 1 months ago
Scalable Bayesian Reduced-Order Models for Simulating High-Dimensional Multiscale Dynamical Systems
While existing mathematical descriptions can accurately account for phenomena at microscopic scales (e.g. molecular dynamics), these are often high-dimensional, stochastic and thei...
Phaedon-Stelios Koutsourelakis, Elias Bilionis
CODES
2007
IEEE
16 years 26 days ago
Dynamic security domain scaling on symmetric multiprocessors for future high-end embedded systems
We propose a method for dynamic security domain scaling on SMPs that offers both highly scalable performance and high security for future high-end embedded systems. Its most impor...
Hiroaki Inoue, Akihisa Ikeno, Tsuyoshi Abe, Junji ...
ICTAI
2005
IEEE
16 years 3 days ago
A Dynamic Bayesian Network for Handling Uncertainty in a Decision Support System Adapted to the Monitoring of Patients Treated b
Telemedicine is a mean of facilitating the distribution of human resources and professional competences. It can speed up diagnosis and therapeutic care delivery and allow peripher...
Cédric Rose, Cherif Smaili, François...