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AAAI
1997
15 years 5 months ago
Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
Milos Hauskrecht
144
Voted
ECAI
2010
Springer
15 years 5 months ago
Learning action effects in partially observable domains
We investigate the problem of learning action effects in partially observable STRIPS planning domains. Our approach is based on a voted kernel perceptron learning model, where act...
Kira Mourão, Ronald P. A. Petrick, Mark Ste...
ENTCS
2010
88views more  ENTCS 2010»
15 years 4 months ago
On the Observable Behaviour of Composite Components
The crucial strength of the component paradigm lies in the possibility to encapsulate behaviours. In this work, we focus on the observable behaviour of composite components which ...
Rolf Hennicker, Stephan Janisch, Alexander Knapp
PAMI
2008
174views more  PAMI 2008»
15 years 2 months ago
Geometric Observers for Dynamically Evolving Curves
Abstract-- This paper proposes a deterministic observer design for visual tracking based on non-parametric implicit (level-set) curve descriptions. The observer is continuous-discr...
Marc Niethammer, Patricio A. Vela, Allen Tannenbau...
SIVP
2010
184views more  SIVP 2010»
15 years 2 months ago
Multichannel AR parameter estimation from noisy observations as an errors-in-variables issue
In various applications from radar processing to mobile communication systems based on CDMA for instance, M-AR multichannel processes are often considered and may be combined with...
Julien Petitjean, Eric Grivel, William Bobillet, P...