2632 search results - page 210 / 527 » Predictive Representations of State |
132
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IPSN
2004
Springer
15 years 10 months ago
2004
Springer
Abstract. This paper describes two methodologies for performing distributed particle filtering in a sensor network. It considers the scenario in which a set of sensor nodes make m...
124
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ESANN
2003
15 years 6 months ago
2003
In this paper fully connected RTRL neural networks are studied. In order to learn dynamical behaviours of linear-processes or to predict time series, an autonomous learning algori...
126
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AUTOMATICA
2008
15 years 5 months ago
2008
This paper consists of two parts. The first part is the development of a datadriven Kalman filter for a non-uniformly sampled multirate (NUSM) system, including identification of ...
137
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JNW
2006
15 years 4 months ago
2006
This paper presents a new approach to integrated security and dependability evaluation, which is based on stochastic modeling techniques. Our proposal aims to provide operational m...
149
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ICMLA
2010
15 years 2 months ago
2010
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...