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» Modeling Sensorimotor Learning with Linear Dynamical Systems
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ECML
2006
Springer
15 years 6 months ago
Learning Process Models with Missing Data
Abstract. In this paper, we review the task of inductive process modeling, which uses domain knowledge to compose explanatory models of continuous dynamic systems. Next we discuss ...
Will Bridewell, Pat Langley, Steve Racunas, Stuart...
138
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UAI
2004
15 years 4 months ago
Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Iain Murray, Zoubin Ghahramani
114
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ICIAP
2001
Springer
15 years 7 months ago
A Neurodynamical Retinal Network Based on Reaction-Diffusion Systems
A dynamical model for retinal processing is presented. The model describes the output of retinal ganglion cells whose receptive field is composed of a center and a surround combi...
Matthias S. Keil, Gabriel Cristóbal, Heiko ...
123
Voted
EMSOFT
2006
Springer
15 years 6 months ago
Time-triggered implementations of dynamic controllers
Bridging the gap between model-based design and platformbased implementation is one of the critical challenges for embedded software systems. In the context of embedded control sy...
Truong Nghiem, George J. Pappas, Rajeev Alur, Anto...
155
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AROBOTS
2002
115views more  AROBOTS 2002»
15 years 2 months ago
Statistical Learning for Humanoid Robots
The complexity of the kinematic and dynamic structure of humanoid robots make conventional analytical approaches to control increasingly unsuitable for such systems. Learning techn...
Sethu Vijayakumar, Aaron D'Souza, Tomohiro Shibata...