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UAI
2003
15 years 7 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 6 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
185
Voted
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 6 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 16 days 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