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» Uncertainty Management for Estimation in Dynamical Systems
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NIPS
1998
13 years 8 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
ICRA
2009
IEEE
106views Robotics» more  ICRA 2009»
14 years 2 months ago
Simultaneous local and global state estimation for robotic navigation
— Recent applications of robotics often demand two types of spatial awareness: 1) A fine-grained description of the robot’s immediate surroundings for obstacle avoidance and p...
David C. Moore, Albert S. Huang, Matthew Walter, E...
ICCD
2005
IEEE
176views Hardware» more  ICCD 2005»
14 years 4 months ago
A Formal Framework for Modeling and Analysis of System-Level Dynamic Power Management
Recent advances in Dynamic Power Management (DPM) techniques have resulted in designs that support a rich set of power management options, both at the hardware and software levels...
Shrirang M. Yardi, Karthik Channakeshava, Michael ...
HYBRID
2007
Springer
14 years 1 months ago
Robust, Optimal Predictive Control of Jump Markov Linear Systems Using Particles
Hybrid discrete-continuous models, such as Jump Markov Linear Systems, are convenient tools for representing many real-world systems; in the case of fault detection, discrete jumps...
Lars Blackmore, Askar Bektassov, Masahiro Ono, Bri...
IFIPTM
2010
140views Management» more  IFIPTM 2010»
13 years 6 months ago
Shinren: Non-monotonic Trust Management for Distributed Systems
Abstract. The open and dynamic nature of modern distributed systems and pervasive environments presents significant challenges to security management. One solution may be trust ma...
Changyu Dong, Naranker Dulay