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» Models of Computation for Networks on Chip
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NIPS
2008
15 years 5 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
15 years 10 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
15 years 9 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»
15 years 5 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»
15 years 9 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