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178
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BIRTHDAY
2008
Springer
15 years 8 months ago
AND/OR Multi-valued Decision Diagrams for Constraint Networks
The paper is an overview of a recently developed compilation data structure for graphical models, with specific application to constraint networks. The AND/OR Multi-Valued Decision...
Robert Mateescu, Rina Dechter
JETAI
1998
110views more  JETAI 1998»
15 years 5 months ago
Independency relationships and learning algorithms for singly connected networks
Graphical structures such as Bayesian networks or Markov networks are very useful tools for representing irrelevance or independency relationships, and they may be used to e cientl...
Luis M. de Campos
262
Voted
NPL
2011
14 years 9 months ago
A Neural Network Scheme for Long-Term Forecasting of Chaotic Time Series
The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...
Pilar Gómez-Gil, Juan Manuel Ramírez...
IJAR
2010
130views more  IJAR 2010»
15 years 4 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
ICC
2000
IEEE
233views Communications» more  ICC 2000»
15 years 9 months ago
Multicasting Sustained CBR and VBR Traffic in Wireless Ad-Hoc Networks
Wireless ad-hoc networks consist of mobile nodes forming a dynamically changing topology without any infrastructure. Multicasting in a wireless ad-hoc network is difficult and chal...
George D. Kondylis, Srikanth V. Krishnamurthy, Son...