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AI
2002
Springer
13 years 8 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
CORR
2010
Springer
155views Education» more  CORR 2010»
13 years 6 months ago
A QoS Provisioning Recurrent Neural Network based Call Admission Control for beyond 3G Networks
The Call admission control (CAC) is one of the Radio Resource Management (RRM) techniques that plays influential role in ensuring the desired Quality of Service (QoS) to the users...
H. S. Ramesh Babu, Gowrishankar, P. S. Satyanaraya...
ICC
2009
IEEE
178views Communications» more  ICC 2009»
13 years 6 months ago
Cross-Layer Design for Energy Conservation in Wireless Sensor Networks
Abstract-- Wireless sensor networks (WSNs) require energyef cient protocols to improve the network lifetime. In this work, we adopt a cross-layer strategy that considers routing an...
Fatma Bouabdallah, Nizar Bouabdallah, Raouf Boutab...
JMLR
2011
187views more  JMLR 2011»
13 years 3 months ago
Robust Statistics for Describing Causality in Multivariate Time Series
A widely agreed upon definition of time series causality inference, established in the seminal 1969 article of Clive Granger (1969), is based on the relative ability of the histor...
Florin Popescu
PODC
2011
ACM
12 years 11 months ago
Robust network supercomputing without centralized control
Internet supercomputing is becoming an increasingly popular means for harnessing the power of a vast number of interconnected computers. This comes at a cost substantially lower t...
Seda Davtyan, Kishori M. Konwar, Alexander A. Shva...