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JMLR
2010
192views more  JMLR 2010»
14 years 12 months ago
Efficient Learning of Deep Boltzmann Machines
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...
Ruslan Salakhutdinov, Hugo Larochelle
PROCEDIA
2010
138views more  PROCEDIA 2010»
14 years 11 months ago
Using the reconfigurable massively parallel architecture COPACOBANA 5000 for applications in bioinformatics
Currently several computational problems require high processing power to handle huge amounts of data, although underlying core algorithms appear to be rather simple. Especially i...
Lars Wienbrandt, Stefan Baumgart, Jost Bissel, Car...
TDSC
2010
160views more  TDSC 2010»
14 years 11 months ago
Dual-Quorum: A Highly Available and Consistent Replication System for Edge Services
This paper introduces dual-quorum replication, a novel data replication algorithm designed to support Internet edge services. Edge services allow clients to access Internet service...
Lei Gao, Michael Dahlin, Jiandan Zheng, Lorenzo Al...
WIOPT
2011
IEEE
14 years 8 months ago
LIFO-Backpressure achieves near optimal utility-delay tradeoff
There has been considerable recent work developing a new stochastic network utility maximization framework using Backpressure algorithms, also known as MaxWeight. A key open probl...
Longbo Huang, Scott Moeller, Michael J. Neely, Bha...
WWW
2011
ACM
14 years 12 months ago
Pragmatic evaluation of folksonomies
Recently, a number of algorithms have been proposed to obtain hierarchical structures — so-called folksonomies — from social tagging data. Work on these algorithms is in part ...
Denis Helic, Markus Strohmaier, Christoph Trattner...