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153
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NOMS
2010
IEEE
222views Communications» more  NOMS 2010»
15 years 1 months ago
Bayesian decision aggregation in collaborative intrusion detection networks
—Cooperation between intrusion detection systems (IDSs) allows collective information and experience from a network of IDSs to be shared to improve the accuracy of detection. A c...
Carol J. Fung, Quanyan Zhu, Raouf Boutaba, Tamer B...
DCC
2007
IEEE
16 years 2 months ago
Bayesian Detection in Bounded Height Tree Networks
We study the detection performance of large scale sensor networks, configured as trees with bounded height, in which information is progressively compressed as it moves towards th...
Wee-Peng Tay, John N. Tsitsiklis, Moe Z. Win
113
Voted
IROS
2007
IEEE
95views Robotics» more  IROS 2007»
15 years 9 months ago
Modeling affordances using Bayesian networks
— Affordances represent the behavior of objects in terms of the robot’s motor and perceptual skills. This type of knowledge plays a crucial role in developmental robotic system...
Luis Montesano, Manuel Lopes, Alexandre Bernardino...
118
Voted
FSKD
2006
Springer
122views Fuzzy Logic» more  FSKD 2006»
15 years 6 months ago
Context Modeling with Bayesian Network Ensemble for Recognizing Objects in Uncertain Environments
Abstract. It is difficult to understand a scene from visual information in uncertain real world. Since Bayesian network (BN) is known as good in this uncertainty, it has received s...
Seung-Bin Im, Youn-Suk Song, Sung-Bae Cho
PERCOM
2010
ACM
15 years 1 months ago
Faster Bayesian context inference by using dynamic value ranges
—This paper shows how to reduce evaluation time for context inference. Probabilistic Context Inference has proven to be a good representation of the physical reality with uncerta...
Korbinian Frank, Patrick Robertson, Sergio Fortes ...