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» On the Use of Evidence in Neural Networks
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WETICE
2007
IEEE
15 years 8 months ago
Network Forensic on Encrypted Peer-to-Peer VoIP Traffics and the Detection, Blocking, and Prioritization of Skype Traffics
Skype is a popular peer-to-peer (P2P) voice over IP (VoIP) application evolving quickly since its launch in 2003. However, the ability to traverse network address translation (NAT...
Chun-Ming Leung, Yuen-Yan Chan
IPPS
2006
IEEE
15 years 8 months ago
Parallelization of module network structure learning and performance tuning on SMP
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
Hongshan Jiang, Chunrong Lai, Wenguang Chen, Yuron...
PAM
2012
Springer
13 years 9 months ago
Re-wiring Activity of Malicious Networks
This paper studies the AS-level re-wiring dynamics (changes in the connectivity) of malicious networks. Anecdotal evidence suggests that some malicious ASes that are primarily invo...
Maria Konte, Nick Feamster
AI
2002
Springer
15 years 1 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
JMLR
2010
137views more  JMLR 2010»
14 years 8 months ago
Importance Sampling for Continuous Time Bayesian Networks
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
Yu Fan, Jing Xu, Christian R. Shelton