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...
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...
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...
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...
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...