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» Structure learning of Bayesian networks using constraints
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NECO
2011
14 years 11 months ago
Least Squares Estimation Without Priors or Supervision
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
Martin Raphan, Eero P. Simoncelli
SENSYS
2004
ACM
15 years 10 months ago
TinySec: a link layer security architecture for wireless sensor networks
We introduce TinySec, the first fully-implemented link layer security architecture for wireless sensor networks. In our design, we leverage recent lessons learned from design vul...
Chris Karlof, Naveen Sastry, David Wagner
CORR
2010
Springer
210views Education» more  CORR 2010»
15 years 4 months ago
Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
Tomer Faktor, Yonina C. Eldar, Michael Elad
181
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ACL
2010
15 years 2 months ago
Towards Relational POMDPs for Adaptive Dialogue Management
Open-ended spoken interactions are typically characterised by both structural complexity and high levels of uncertainty, making dialogue management in such settings a particularly...
Pierre Lison
NN
2002
Springer
119views Neural Networks» more  NN 2002»
15 years 4 months ago
Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP
In this paper we introduce novel geometric concepts, namely category regions, in the original framework of Fuzzy-ART (FA) and FuzzyARTMAP (FAM). The definitions of these regions a...
Georgios C. Anagnostopoulos, Michael Georgiopoulos