1921 search results - page 199 / 385 » Learning from sensor network data |
150
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CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
122
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PERCOM
2010
ACM
15 years 22 days ago
2010
ACM
This paper describes the design, implementation and deployment of a wireless sensor system for athletes. The system is designed to profile sprints based on input from on-body senso...
113
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FSR
2003
Springer
15 years 8 months ago
2003
Springer
Current methods for off-road navigation using vehicle and terrain models to predict future vehicle response are limited by the accuracy of the models they use and can suffer if th...
123
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IDEAL
2000
Springer
15 years 6 months ago
2000
Springer
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
103
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IJAR
2006
15 years 2 months ago
2006
We consider the problem of learning the parameters of a Bayesian network from data, while taking into account prior knowledge about the signs of influences between variables. Such...