80 search results - page 11 / 16 » Modelling defence logistics networks |
ICANN
2005
Springer
14 years 26 days ago
2005
Springer
Spike synchronisation and de-synchronisation are important for feature binding and separation at various levels in the visual system. We present a model of complex valued neuron ac...
IJCAI
2007
13 years 8 months ago
2007
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
WABI
2009
Springer
14 years 1 months ago
2009
Springer
Background: This paper considers the problem of identifying pathways through metabolic networks that relate to a specific biological response. Our proposed model, HME3M, first ide...
WSC
2008
13 years 9 months ago
2008
Information superiority is considered a critical capability for future joint forces. As advances in technology continue to boost our ability to communicate in new and different wa...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...