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» On the Use of Evidence in Neural Networks
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WETICE
2007
IEEE
16 years 23 days 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
16 years 16 days 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
14 years 2 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 6 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»
15 years 1 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