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» Bipartite Graphs as Models of Complex Networks
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ISI
2006
Springer
14 years 11 months ago
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tib&...
AI
2002
Springer
14 years 11 months ago
The size distribution for Markov equivalence classes of acyclic digraph models
Bayesian networks, equivalently graphical Markov models determined by acyclic digraphs or ADGs (also called directed acyclic graphs or dags), have proved to be both effective and ...
Steven B. Gillispie, Michael D. Perlman
GD
2008
Springer
15 years 26 days ago
Graph Drawing for Security Visualization
Abstract. As the number of devices connected to the internet continues to grow rapidly and software systems are being increasingly deployed on the web, security and privacy have be...
Roberto Tamassia, Bernardo Palazzi, Charalampos Pa...
NETCOOP
2007
Springer
15 years 6 months ago
Tracing an Optical Buffer's Performance: An Effective Approach
Abstract. Optical Burst Switching proposes a future-proof alternative to the current electronic switching in the backbone. The involved optical buffers are implemented with a set o...
Wouter Rogiest, Dieter Fiems, Koenraad Laevens, He...
CORR
2010
Springer
156views Education» more  CORR 2010»
14 years 12 months ago
Topological analysis of the power grid and mitigation strategies against cascading failures
This paper presents a complex systems overview of a power grid network under cascading conditions. The cascading effect has been simulated on three different networks, the IEEE 300...
Sakshi Pahwa, Amelia Hodges, Caterina M. Scoglio, ...