413 search results - page 11 / 83 » Are Hopfield Networks Faster than Conventional Computers |
141
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GECCO
2005
Springer
15 years 11 months ago
2005
Springer
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
167
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TPDS
2010
15 years 4 months ago
2010
s: An Abstraction for Data Intensive Computing on Campus Grids Christopher Moretti, Hoang Bui, Karen Hollingsworth, Brandon Rich, Patrick Flynn, and Douglas Thain Department of Com...
174
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SCHOLARPEDIA
2011
14 years 8 months ago
2011
Abstract. Scientists’ ability to generate and collect massive-scale datasets is increasing. As a result, constraints in data analysis capability rather than limitations in the av...
166
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ICCAD
2007
IEEE
16 years 5 days ago
2007
IEEE
— This paper describes the FAST methodology that enables a single FPGA to accelerate the performance of cycle-accurate computer system simulators modeling modern, realistic SoCs,...
142
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TSP
2008
15 years 5 months ago
2008
To overcome the limitations of a conventional fullband adaptive filtering, various subband adaptive filtering (SAF) structures have been proposed. Properly designed, an SAF will co...