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» Inference in Bayesian Networks
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CP
2009
Springer
16 years 5 months ago
Failed Value Consistencies for Constraint Satisfaction
In constraint satisfaction, basic inferences rely on some properties of constraint networks, called consistencies, that allow the identification of inconsistent instantiations (als...
Christophe Lecoutre, Olivier Roussel
DCOSS
2008
Springer
15 years 6 months ago
LiveNet: Using Passive Monitoring to Reconstruct Sensor Network Dynamics
We describe LiveNet, a set of tools and analysis methods for reconstructing the complex behavior of a deployed sensor network. LiveNet is based on the use of multiple passive packe...
Bor-rong Chen, Geoffrey Peterson, Geoffrey Mainlan...
CORR
2010
Springer
116views Education» more  CORR 2010»
14 years 11 months ago
Mixed-Membership Stochastic Block-Models for Transactional Networks
Abstract: Transactional network data can be thought of as a list of oneto-many communications (e.g., email) between nodes in a social network. Most social network models convert th...
Mahdi Shafiei, Hugh Chipman
CCS
2009
ACM
16 years 5 months ago
Automating analysis of large-scale botnet probing events
Botnets dominate today's attack landscape. In this work we investigate ways to analyze collections of malicious probing traffic in order to understand the significance of lar...
Zhichun Li, Anup Goyal, Yan Chen, Vern Paxson
KDD
2008
ACM
174views Data Mining» more  KDD 2008»
16 years 5 months ago
Effective label acquisition for collective classification
Information diffusion, viral marketing, and collective classification all attempt to model and exploit the relationships in a network to make inferences about the labels of nodes....
Mustafa Bilgic, Lise Getoor