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» Learning network structure from passive measurements
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NOMS
2006
IEEE
147views Communications» more  NOMS 2006»
14 years 1 months ago
DiMAPI: An Application Programming Interface for Distributed Network Monitoring
Abstract— Network monitoring and measurement is commonly regarded as an essential function for understanding, managing and improving the performance and security of network infra...
Panos Trimintzios, Michalis Polychronakis, Antonis...
SENSYS
2006
ACM
14 years 1 months ago
StarDust: a flexible architecture for passive localization in wireless sensor networks
The problem of localization in wireless sensor networks where nodes do not use ranging hardware, remains a challenging problem, when considering the required location accuracy, en...
Radu Stoleru, Pascal Vicaire, Tian He, John A. Sta...
EUROSSC
2009
Springer
14 years 7 days ago
Wireless Sensor Networks to Enable the Passive House - Deployment Experiences
Finding solutions for the current period of climate change or “global warming” is possibly the most serious and pressing challenge faced by scientists and the wider community t...
Tessa Daniel, Elena I. Gaura, James Brusey
ML
2010
ACM
151views Machine Learning» more  ML 2010»
13 years 6 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
CEC
2009
IEEE
14 years 2 months ago
Structure learning and optimisation in a Markov-network based estimation of distribution algorithm
—Structure learning is a crucial component of a multivariate Estimation of Distribution algorithm. It is the part which determines the interactions between variables in the proba...
Alexander E. I. Brownlee, John A. W. McCall, Siddh...