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JMLR
2012
13 years 9 months ago
Krylov Subspace Descent for Deep Learning
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
Oriol Vinyals, Daniel Povey
ISCA
2012
IEEE
280views Hardware» more  ISCA 2012»
13 years 9 months ago
A case for random shortcut topologies for HPC interconnects
—As the scales of parallel applications and platforms increase the negative impact of communication latencies on performance becomes large. Fortunately, modern High Performance C...
Michihiro Koibuchi, Hiroki Matsutani, Hideharu Ama...
ESCIENCE
2006
IEEE
15 years 10 months ago
Scientific Workflows: More e-Science Mileage from Cyberinfrastructure
We view scientific workflows as the domain scientist's way to harness cyberinfrastructure for e-Science. Domain scientists are often interested in "end-to-end" fram...
Bertram Ludäscher, Shawn Bowers, Timothy M. M...
154
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MOBIHOC
2009
ACM
16 years 7 months ago
Energy-efficient capture of stochastic events by global- and local-periodic network coverage
We consider a high density of sensors randomly placed in a geographical area for event monitoring. The monitoring regions of the sensors may have significant overlap, and a subset...
Shibo He, Jiming Chen, David K. Y. Yau, Huanyu Sha...
CCS
2007
ACM
16 years 26 days ago
Network anomaly detection based on TCM-KNN algorithm
Intrusion detection is a critical component of secure information systems. Network anomaly detection has been an active and difficult research topic in the field of Intrusion Dete...
Yang Li, Binxing Fang, Li Guo, You Chen