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» Sensor Errors Prediction Using Neural Networks
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EURONGI
2005
Springer
15 years 10 months ago
An Afterstates Reinforcement Learning Approach to Optimize Admission Control in Mobile Cellular Networks
We deploy a novel Reinforcement Learning optimization technique based on afterstates learning to determine the gain that can be achieved by incorporating movement prediction inform...
José Manuel Giménez-Guzmán, J...
148
Voted
CDC
2009
IEEE
148views Control Systems» more  CDC 2009»
15 years 9 months ago
A prediction based control scheme for networked systems with delays and packet dropouts
— We present a networked control scheme which uses a model based prediction and time-stamps in order to compensate for delays and packet dropouts in the transmission between sens...
Lars Grüne, Jürgen Pannek, Karl Worthman...
151
Voted
ICANN
2009
Springer
15 years 9 months ago
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...
Shan He, Huanhuan Chen, Xiaoli Li, Xin Yao
AUSAI
2006
Springer
15 years 8 months ago
Robust Character Recognition Using a Hierarchical Bayesian Network
There is increasing evidence to suggest that the neocortex of the mammalian brain does not consist of a collection of specialised and dedicated cortical architectures, but instead ...
John Thornton, Torbjorn Gustafsson, Michael Blumen...
226
Voted
CIS
2010
Springer
15 years 20 hour ago
Sensor Graphs for Guaranteed Cooperative Localization Performance
A group of mobile robots can localize cooperatively, using relative position and absolute orientation measurements, fused through an extended Kalman filter (ekf). The topology of ...
Y. Yuan, H. G. Tanner