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GD
2005
Springer
14 years 1 months ago
Drawing Clustered Graphs in Three Dimensions
Clustered graph is a very useful model for drawing large and complex networks. This paper presents a new method for drawing clustered graphs in three dimensions. The method uses a ...
Joshua Wing Kei Ho, Seok-Hee Hong
CCS
2009
ACM
13 years 11 months ago
The bayesian traffic analysis of mix networks
This work casts the traffic analysis of anonymity systems, and in particular mix networks, in the context of Bayesian inference. A generative probabilistic model of mix network ar...
Carmela Troncoso, George Danezis
DAC
2003
ACM
14 years 8 months ago
Coverage directed test generation for functional verification using bayesian networks
Functional verification is widely acknowledged as the bottleneck in the hardware design cycle. This paper addresses one of the main challenges of simulation based verification (or...
Shai Fine, Avi Ziv
ECSQARU
2005
Springer
14 years 1 months ago
On the Use of Restrictions for Learning Bayesian Networks
In this paper we explore the use of several types of structural restrictions within algorithms for learning Bayesian networks. These restrictions may codify expert knowledge in a g...
Luis M. de Campos, Javier Gomez Castellano
SAFECOMP
2005
Springer
14 years 1 months ago
Generalising Event Trees Using Bayesian Networks with a Case Study of Train Derailment
Event trees are a popular technique for modelling accidents in system safety analyses. Bayesian networks are a probabilistic modelling technique representing influences between unc...
George Bearfield, William Marsh