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BMCBI
2008
118views more  BMCBI 2008»
13 years 8 months ago
Inferring transcriptional compensation interactions in yeast via stepwise structure equation modeling
Background: With the abundant information produced by microarray technology, various approaches have been proposed to infer transcriptional regulatory networks. However, few appro...
Grace S. Shieh, Chung-Ming Chen, Ching-Yun Yu, Jui...
NIPS
1998
13 years 10 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
ICCV
2005
IEEE
14 years 2 months ago
Inference of Non-Overlapping Camera Network Topology by Measuring Statistical Dependence
We present an approach for inferring the topology of a camera network by measuring statistical dependence between observations in different cameras. Two cameras are considered con...
Kinh Tieu, Gerald Dalley, W. Eric L. Grimson
WEBI
2005
Springer
14 years 2 months ago
A MAS Approach to Fusion of Heterogeneous Information
Distributed Perception Networks (DPN) are a MAS approach to large scale fusion of heterogeneous and noisy information. DPN agents can establish meaningful information filtering c...
Gregor Pavlin, Patrick de Oude, Jan Nunnink
NDSS
2009
IEEE
14 years 3 months ago
SybilInfer: Detecting Sybil Nodes using Social Networks
SybilInfer is an algorithm for labelling nodes in a social network as honest users or Sybils controlled by an adversary. At the heart of SybilInfer lies a probabilistic model of h...
George Danezis, Prateek Mittal