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AAAI
2011
14 years 21 days ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
93
Voted
CODES
1996
IEEE
15 years 4 months ago
A Model for the Coanalysis of Hardware and Software Architectures
Successful """tiprocessor system design for complex realtime embedded applications requires powerful and comprehensive. yet cost-effective. productive. and maintain...
Fred Rose, Todd Carpenter, Sanjaya Kumar, John Sha...
78
Voted
COMCOM
1998
73views more  COMCOM 1998»
15 years 12 days ago
Fuzzy multiobjective routing model in B-ISDN
Routing algorithms are required to guarantee the various quality-of-service (QoS) characteristics requested by the wide range of applications supported by Broadband Integrated Ser...
Emad Aboelela, Christos Douligeris
108
Voted
CEC
2009
IEEE
15 years 5 months ago
Parallel BMDA with an aggregation of probability models
—The paper is focused on the problem of aggregation of probability distribution applicable for parallel Bivariate Marginal Distribution Algorithm (pBMDA). A new approach based on...
Jirí Jaros, Josef Schwarz
85
Voted
WSC
2008
15 years 3 months ago
Experience in the broadening of a single-purpose simulation model
Simulation models are often developed for a single purpose. However, once a model is accepted by management and other stake-holders, it is quite common and desirable to wish to br...
Reid L. Kress, Pete Bereolos, Karen Bills, James C...