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» Evolvable Hardware for Generalized Neural Networks
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SIGMETRICS
2006
ACM
102views Hardware» more  SIGMETRICS 2006»
13 years 11 months ago
On the way to a distributed systems calculus: an end-to-end network calculus with data scaling
Network calculus is a min-plus system theory which facilitates the efficient derivation of performance bounds for networks of queues. It has successfully been applied to provide e...
Markus Fidler, Jens B. Schmitt
CLOUD
2010
ACM
13 years 11 months ago
Stateful bulk processing for incremental analytics
This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...
SIGMETRICS
2005
ACM
163views Hardware» more  SIGMETRICS 2005»
13 years 11 months ago
Smooth switching problem in buffered crossbar switches
Scalability considerations drive the switch fabric design to evolve from output queueing to input queueing and further to combined input and crosspoint queueing (CICQ). However, f...
Simin He, Shutao Sun, Wei Zhao, Yanfeng Zheng, Wen...
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 6 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
DATE
2008
IEEE
223views Hardware» more  DATE 2008»
14 years 7 days ago
Cooperative Safety: a Combination of Multiple Technologies
—Governmental Transportation Authorities' interest in Car to Car and Car to Infrastructure has grown dramatically over the last few years in order to increase the road safet...
Raffaele Penazzi, Piergiorgio Capozio, Martin Dunc...