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143
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NIPS
2004
15 years 4 months ago
Dynamic Bayesian Networks for Brain-Computer Interfaces
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
Pradeep Shenoy, Rajesh P. N. Rao
WCE
2007
15 years 3 months ago
Information Fusion for Hazard Analysis in Multi-Sensor Systems based on Bayesian Networks
—Modern sliding table saws are equipped with several passive safety devices. However, alone in Germany several hundred severe injuries or limb amputations occur each year due dis...
Jörg Barrho, Johannes Hauger, Uwe Kiencke
142
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ECAI
2010
Springer
15 years 3 months ago
Using Bayesian Networks in an Industrial Setting: Making Printing Systems Adaptive
Abstract. Control engineering is a field of major industrial importance as it offers principles for engineering controllable physical devices, such as cell phones, television sets,...
Arjen Hommersom, Peter J. F. Lucas
117
Voted
APIN
2008
110views more  APIN 2008»
15 years 2 months ago
Explaining inferences in Bayesian networks
While Bayesian network (BN) can achieve accurate predictions even with erroneous or incomplete evidence, explaining the inferences remains a challenge. Existing approaches fall sh...
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
134
Voted
JSAC
2008
114views more  JSAC 2008»
15 years 2 months ago
Design of an Optimal Bayesian Incentive Compatible Broadcast Protocol for Ad Hoc Networks with Rational Nodes
Nodes in an ad hoc wireless network incur certain costs for forwarding packets since packet forwarding consumes the resources of the nodes. If the nodes are rational, free packet f...
N. Ram Suri, Y. Narahari