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IJCNN
2007
IEEE
15 years 10 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
166
Voted
CL
2007
Springer
15 years 3 months ago
A bulk-synchronous parallel process algebra
The CCS (Calculus of Communicating Systems) process algebra is a well-known formal model of synchronization and communication. It is used for the analysis of safety and liveness i...
Armelle Merlin, Gaétan Hains
116
Voted
CPHYSICS
2007
138views more  CPHYSICS 2007»
15 years 3 months ago
UPIC: A framework for massively parallel particle-in-cell codes
The UCLA Parallel Particle-in-Cell (UPIC) Framework, is designed to provide trusted components for building a variety of parallel Particle-in-Cell (PIC) codes. It is based on the ...
Viktor K. Decyk
AI
2011
Springer
14 years 7 months ago
Parallelizing a Convergent Approximate Inference Method
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
Ming Su, Elizabeth Thompson
110
Voted
IPPS
2007
IEEE
15 years 10 months ago
A Parallel Hybrid Method of GMRES on GRID System
Grid computing focuses on making use of a very large amount of resources from a large-scale computing environment. It intends to deliver high-performance computing over distribute...
Ye Zhang, Guy Bergére, Serge G. Petiton