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UAI
2003
15 years 8 months ago
The Information Bottleneck EM Algorithm
Learning with hidden variables is a central challenge in probabilistic graphical models that has important implications for many real-life problems. The classical approach is usin...
Gal Elidan, Nir Friedman
IJISEC
2008
119views more  IJISEC 2008»
15 years 7 months ago
Estimating the maximum information leakage
Preventing improper information leaks is a greatest challenge of the modern society. In this paper we present a technique for measuring the ability of several families of adversari...
Alessandro Aldini, Alessandra Di Pierro
TIFS
2008
136views more  TIFS 2008»
15 years 6 months ago
Distributed Detection of Information Flows
Abstract--Distributed detection of information flows is considered in which traffic sensors at different locations of a network observe transmission epochs. The traffic sensors com...
Ting He, Lang Tong
IJMMS
2008
108views more  IJMMS 2008»
15 years 7 months ago
Ontology-based information extraction and integration from heterogeneous data sources
In this paper we present the design, implementation and evaluation of SOBA, a system for ontology-based information extraction from heterogeneous data resources, including plain t...
Paul Buitelaar, Philipp Cimiano, Anette Frank, Mat...
CISS
2008
IEEE
16 years 1 months ago
Identifying sufficient statistics in information networks
Abstract –Given a network targeting information transmission, this paper considers the problem of identifying a set of edges or nodes whose transmission is sufficient to determin...
Huaiyu Dai, Husheng Li