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» Constructing minimum-interference networks
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ESANN
2007
15 years 5 months ago
An overview of reservoir computing: theory, applications and implementations
Training recurrent neural networks is hard. Recently it has however been discovered that it is possible to just construct a random recurrent topology, and only train a single linea...
Benjamin Schrauwen, David Verstraeten, Jan M. Van ...
230
Voted
AIPS
2004
15 years 5 months ago
Trading Places: How to Schedule More in a Multi-Resource Oversubscribed Scheduling Problem
Oversubscribed scheduling problems require removing tasks when enough resources are not available. Prior AI approaches have mostly been constructive or repairbased heuristic searc...
Laura Barbulescu, Adele E. Howe, L. Darrell Whitle...
DAGSTUHL
2006
15 years 5 months ago
Coxeter Lattice Paths
Supercomputing applications usually involve the repeated parallel application of discretized differential operators. Difficulties arise with higher-order discretizations their com...
Thomas J. Ashby, Anthony D. Kennedy, Stephen M. Wa...
129
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ESANN
2006
15 years 5 months ago
On the selection of hidden neurons with heuristic search strategies for approximation
Abstract. Feature Selection techniques usually follow some search strategy to select a suitable subset from a set of features. Most neural network growing algorithms perform a sear...
Ignacio Barrio, Enrique Romero, Lluís A. Be...
111
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FLAIRS
2001
15 years 5 months ago
Structural Learning in Object Oriented Domains
When constructing a Bayesian network, it can be advantageous to employ structural learning algorithms to combine knowledge captured in databases with prior information provided by...
Olav Bangsø, Helge Langseth, Thomas D. Niel...