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» Parallel Distributed Belief Networks
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143
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EUROPAR
2007
Springer
15 years 10 months ago
Content-Based Publish/Subscribe Using Distributed R-Trees
Publish/subscribe systems provide a useful paradigm for selective data dissemination and most of the complexity related to addressing and routing is encapsulated within the network...
Silvia Bianchi, Pascal Felber, Maria Gradinariu
117
Voted
ICDCSW
2002
IEEE
15 years 8 months ago
Separating Introspection and Intercession to Support Metamorphic Distributed Systems
Many middleware platforms use computational reflection to support adaptive functionality. Most approaches intertwine the activity of observing behavior (introspection) with the a...
Eric P. Kasten, Philip K. McKinley, Seyed Masoud S...
133
Voted
PDPTA
2004
15 years 5 months ago
An Evaluation of Distributed Scheduling Algorithms Within the DESPOT Architecture
Current systems for managing workload on clusters of workstations, particularly those available for Linuxbased (Beowulf) clusters, are typically based on traditional process-based...
Daniel Andresen, Jeffrey Lebak, Ethan Bowker
155
Voted
JMLR
2010
145views more  JMLR 2010»
14 years 10 months ago
Parallelizable Sampling of Markov Random Fields
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
James Martens, Ilya Sutskever
121
Voted
EUROPAR
2007
Springer
15 years 10 months ago
Asynchronous Distributed Power Iteration with Gossip-Based Normalization
The dominant eigenvector of matrices defined by weighted links in overlay networks plays an important role in many peer-to-peer applications. Examples include trust management, im...
Márk Jelasity, Geoffrey Canright, Kenth Eng...