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NPL
1998
133views more  NPL 1998»
13 years 7 months ago
Parallel Coarse Grain Computing of Boltzmann Machines
Abstract. The resolution of combinatorial optimization problems can greatly benefit from the parallel and distributed processing which is characteristic of neural network paradigm...
Julio Ortega, Ignacio Rojas, Antonio F. Día...
TVCG
1998
197views more  TVCG 1998»
13 years 7 months ago
A New Line Integral Convolution Algorithm for Visualizing Time-Varying Flow Fields
—New challenges on vector field visualization emerge as time-dependent numerical simulations become ubiquitous in the field of computational fluid dynamics (CFD). To visualize da...
Han-Wei Shen, David L. Kao
NAR
2007
90views more  NAR 2007»
13 years 7 months ago
The SUPERFAMILY database in 2007: families and functions
The SUPERFAMILY database provides protein domain assignments, at the SCOP ‘superfamily’ level, for the predicted protein sequences in over 400 completed genomes. A superfamily...
Derek Wilson, Martin Madera, Christine Vogel, Cyru...
IPPS
2010
IEEE
13 years 5 months ago
Improving the performance of Uintah: A large-scale adaptive meshing computational framework
Abstract--Uintah is a highly parallel and adaptive multiphysics framework created by the Center for Simulation of Accidental Fires and Explosions in Utah. Uintah, which is built up...
Justin Luitjens, Martin Berzins
EVOW
2009
Springer
13 years 5 months ago
Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks
Abstract. Evolutionary algorithms such as genetic programming and grammatical evolution have been used for simultaneously optimizing network architecture, variable selection, and w...
Stephen D. Turner, Marylyn D. Ritchie, William S. ...