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NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 4 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
CORR
2010
Springer
121views Education» more  CORR 2010»
15 years 24 days ago
Asynchronous Bounded Expected Delay Networks
We propose a natural generalisation of asynchronous bounded delay (ABD) network models. The commonly used ABD models assume a known bound on message delay. This assumption is ofte...
Rena Bakhshi, Jörg Endrullis, Wan Fokkink, Ju...
128
Voted
EUROPAR
2003
Springer
15 years 6 months ago
A Coordination Model for ad hoc Mobile Systems
The growing success of wireless ad hoc networks and portable hardware devices presents many interesting problems to software engineers. Particular, coordination is a challenging t...
Marco Tulio de Oliveira Valente, Fernando Magno Qu...
105
Voted
ICONIP
2010
14 years 11 months ago
Complex Spiking Models: A Role for Diffuse Thalamic Projections in Complex Cortical Activity
Cortical activity exhibits complex, persistent self-sustained dynamics, which is hypothesised to support the brain’s sophisticated processing capabilities. Prior studies have sho...
Peter Stratton, Janet Wiles
105
Voted
WS
2005
ACM
15 years 6 months ago
Modeling epidemic spreading in mobile environments
The growing popularity of mobile networks makes them increasingly attractive to virus writers, and malicious code targeting mobile devices has already begun to appear. Unfortunate...
James W. Mickens, Brian D. Noble