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ICML
2008
IEEE
16 years 7 months ago
Discriminative parameter learning for Bayesian networks
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwi...
P2P
2008
IEEE
120views Communications» more  P2P 2008»
16 years 16 days ago
Failure-Tolerant Overlay Trees for Large-Scale Dynamic Networks
Trees are fundamental structures for data dissemination in large-scale network scenarios. However, their inherent fragility has led researchers to rely on more redundant mesh topo...
Davide Frey, Amy L. Murphy
ESORICS
2005
Springer
15 years 11 months ago
On Scalability and Modularisation in the Modelling of Network Security Systems
Abstract. As the use of computers and data communication technologies spreads, network security systems are becoming increasingly complex, due to the incorporation of a variety of ...
João Porto de Albuquerque, Heiko Krumm, Pau...
ICDCN
2009
Springer
15 years 10 months ago
Optimizing Multi-hop Queries in ZigBee Based Multi-sink Sensor Networks
Wireless sensor networks with multiple users collecting data directly from the sensors have many potential applications. An important problem is to allocate for each user a query r...
Bing Han, Gwendal Simon
IJON
2006
160views more  IJON 2006»
15 years 6 months ago
Attractor dynamics in a modular network model of the cerebral cortex
ional models of cortical associative memory often take a top-down approach. We have previously described such an abstract model with a hypercolumnar structure. Here we explore a s...
Mikael Lundqvist, Martin Rehn, Anders Lansner