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» Information complexity of neural networks
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PST
2004
15 years 8 months ago
A novel visualization technique for network anomaly detection
Visualized information is a technique that can encode large amounts of complex interrelated data, being at the same time easily quantified, manipulated, and processed by a human us...
Iosif-Viorel Onut, Bin Zhu, Ali A. Ghorbani
BMCBI
2010
125views more  BMCBI 2010»
15 years 6 months ago
Compartmentalization of the Edinburgh Human Metabolic Network
Background: Direct in vivo investigation of human metabolism is complicated by the distinct metabolic functions of various sub-cellular organelles. Diverse micro-environments in d...
Tong Hao, Hongwu Ma, Xue-Ming Zhao, Igor Goryanin
UAI
1996
15 years 8 months ago
Asymptotic Model Selection for Directed Networks with Hidden Variables
We extend the Bayesian Information Criterion (BIC), an asymptotic approximation for the marginal likelihood, to Bayesian networks with hidden variables. This approximation can be ...
Dan Geiger, David Heckerman, Christopher Meek
WABI
2009
Springer
155views Bioinformatics» more  WABI 2009»
16 years 1 months ago
A Markov Classification Model for Metabolic Pathways
Background: This paper considers the problem of identifying pathways through metabolic networks that relate to a specific biological response. Our proposed model, HME3M, first ide...
Timothy Hancock, Hiroshi Mamitsuka
BROADNETS
2005
IEEE
16 years 8 days ago
Performance analysis and enhancement for backbone based wireless mobile ad hoc networks
—In this paper, we present an extended Mobile Backbone Network (MBN) topology synthesis algorithm (ETSA) for constructing and maintaining a dynamic backbone structure in mobile w...
Laura Huei-jiun Ju, Izhak Rubin