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» Approximate Learning of Dynamic Models
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COLT
2008
Springer
15 years 6 months ago
Adapting to a Changing Environment: the Brownian Restless Bandits
In the multi-armed bandit (MAB) problem there are k distributions associated with the rewards of playing each of k strategies (slot machine arms). The reward distributions are ini...
Aleksandrs Slivkins, Eli Upfal
ICASSP
2008
IEEE
15 years 11 months ago
Discriminative feature selection for hidden Markov models using Segmental Boosting
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...
Pei Yin, Irfan A. Essa, Thad Starner, James M. Reh...
WACV
2005
IEEE
15 years 10 months ago
Combining View-Based and Model-Based Tracking of Articulated Human Movements
Many existing systems for human body tracking are based on dynamic model-based tracking that is driven by local image features. Alternatively, within a view-based approach, tracki...
Cristóbal Curio, Martin A. Giese
AAMAS
2007
Springer
15 years 11 months ago
Optimal Control in Large Stochastic Multi-agent Systems
Abstract. We study optimal control in large stochastic multi-agent systems in continuous space and time. We consider multi-agent systems where agents have independent dynamics with...
Bart van den Broek, Wim Wiegerinck, Bert Kappen
141
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HYBRID
2005
Springer
15 years 10 months ago
Polynomial Stochastic Hybrid Systems
This paper deals with polynomial stochastic hybrid systems (pSHSs), which generally correspond to stochastic hybrid systems with polynomial continuous vector fields, reset maps, a...
João P. Hespanha