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OSDI
2008
ACM
16 years 6 months ago
Probabilistic Inference in Queueing Networks
Although queueing models have long been used to model the performance of computer systems, they are out of favor with practitioners, because they have a reputation for requiring u...
Charles A. Sutton, Michael I. Jordan
ICMCS
2008
IEEE
207views Multimedia» more  ICMCS 2008»
16 years 15 days ago
Structure learning in a Bayesian network-based video indexing framework
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
Siwar Baghdadi, Guillaume Gravier, Claire-Hé...
WSC
1998
15 years 7 months ago
Integrating Neural Networks with Special Purpose Simulation
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
Dany Hajjar, Simaan M. AbouRizk, Kevin Mather
CSDA
2006
84views more  CSDA 2006»
15 years 6 months ago
Three-mode partitioning
The three-mode partitioning model is a clustering model for three-way three-mode data sets that implies a simultaneous partitioning of all three modes involved in the data. In the...
Jan Schepers, Iven Van Mechelen, Eva Ceulemans
177
Voted
ICC
2007
IEEE
144views Communications» more  ICC 2007»
16 years 12 days ago
Modelling Interference Temperature Constraints for Spectrum Access in Cognitive Radio Networks
— With the advent of cognitive radio technology, new paradigms for spectrum access can achieve near-optimal spectrum utilisation by letting each user sense and utilise available s...
Joe Bater, Hwee Pink Tan, Kenneth N. Brown, Linda ...