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» Balanced Boosting with Parallel Perceptrons
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IWANN
2005
Springer
13 years 10 months ago
Balanced Boosting with Parallel Perceptrons
Boosting constructs a weighted classifier out of possibly weak learners by successively concentrating on those patterns harder to classify. While giving excellent results in many ...
Iván Cantador, José R. Dorronsoro
IBPRIA
2005
Springer
13 years 10 months ago
Parallel Perceptrons, Activation Margins and Imbalanced Training Set Pruning
A natural way to deal with training samples in imbalanced class problems is to prune them removing redundant patterns, easy to classify and probably over represented, and label noi...
Iván Cantador, José R. Dorronsoro
INFOCOM
2003
IEEE
13 years 10 months ago
Exploiting Parallelism to Boost Data-Path Rate in High-Speed IP/MPLS Networking
Abstract—Link bundling is a way to increase routing scalability whenever a pair of Label Switching Routers in MPLS are connected by multiple parallel links. However, link bundlin...
Indra Widjaja, Anwar Elwalid
FPL
2006
Springer
161views Hardware» more  FPL 2006»
13 years 8 months ago
Predictive Load Balancing for Interconnected FPGAs
A Field Programmable Gate Array (FPGA), when used as a platform for implementing special-purpose computing architectures, offers the potential for increased functional parallelism...
Jason D. Bakos, Charles L. Cathey, Allen Michalski