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DCOSS
2006
Springer
15 years 1 months ago
2006
Springer
When communication in sensor networks occurs over wireless links, confidential information about the communication patterns between sensor nodes could be leaked even when encryptio...
JMLR
2010
14 years 4 months ago
2010
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
SENSYS
2006
ACM
15 years 3 months ago
2006
ACM
Computing and maintaining network structures for efficient data aggregation incurs high overhead for dynamic events where the set of nodes sensing an event changes with time. Mor...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
We present a fully probabilistic stick-figure model that uses a nonparametric Bayesian distribution over trees for its structure prior. Sticks are represented by nodes in a tree i...
IPPS
2006
IEEE
15 years 3 months ago
2006
IEEE
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 ...