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» Models of Computation for Networks on Chip
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NIPS
2008
13 years 10 months ago
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Randomly connected recurrent neural circuits have proven to be very powerful models for online computations when a trained memoryless readout function is appended. Such Reservoir ...
Benjamin Schrauwen, Lars Buesing, Robert A. Legens...
ICDAR
2007
IEEE
14 years 3 months ago
Energy-Based Models in Document Recognition and Computer Vision
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu...
ISPAN
2005
IEEE
14 years 2 months ago
Process Scheduling for the Parallel Desktop
Commodity hardware and software are growing increasingly more complex, with advances such as chip heterogeneity and specialization, deeper memory hierarchies, ne-grained power ma...
Eitan Frachtenberg
EUSFLAT
2007
183views Fuzzy Logic» more  EUSFLAT 2007»
13 years 10 months ago
Soft Computing in Wireless Sensors Networks
The embedded soft computing approach in wireless sensor networks is suggested. This approach means a combination of embedded fuzzy logic and neural networks models for information...
Alexey N. Averkin, A. G. Belenki
STOC
2010
ACM
211views Algorithms» more  STOC 2010»
14 years 1 months ago
Distributed Computation in Dynamic Networks
In this paper we investigate distributed computation in dynamic networks in which the network topology changes from round to round. We consider a worst-case model in which the com...
Fabian Kuhn, Nancy Lynch and Rotem Oshman