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» Using Bayesian networks to analyze expression data
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NDSS
2007
IEEE
15 years 4 months ago
Generic Application-Level Protocol Analyzer and its Language
Application-level protocol analyzers are important components in tools such as intrusion detection systems, firewalls, and network monitors. Currently, protocol analyzers are wri...
Nikita Borisov, David Brumley, Helen J. Wang, John...
DSN
2003
IEEE
15 years 3 months ago
A Data-Driven Finite State Machine Model for Analyzing Security Vulnerabilities
This paper combines an analysis of data on security vulnerabilities (published in Bugtraq database) and a focused source-code examination to develop a finite state machine (FSM) m...
Shuo Chen, Zbigniew Kalbarczyk, Jun Xu, Ravishanka...
ICMCS
2005
IEEE
173views Multimedia» more  ICMCS 2005»
15 years 3 months ago
A Multi-Modal Mixed-State Dynamic Bayesian Network for Robust Meeting Event Recognition from Disturbed Data
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...
Marc Al-Hames, Gerhard Rigoll
BMCBI
2007
164views more  BMCBI 2007»
14 years 9 months ago
Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks
Background: The regulation of gene expression is achieved through gene regulatory networks (GRNs) in which collections of genes interact with one another and other substances in a...
Peng Li, Chaoyang Zhang, Edward J. Perkins, Ping G...
ICML
2010
IEEE
14 years 8 months ago
Heterogeneous Continuous Dynamic Bayesian Networks with Flexible Structure and Inter-Time Segment Information Sharing
Classical dynamic Bayesian networks (DBNs) are based on the homogeneous Markov assumption and cannot deal with heterogeneity and non-stationarity in temporal processes. Various ap...
Frank Dondelinger, Sophie Lebre, Dirk Husmeier