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» A distributed machine learning framework
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WSC
2004
15 years 1 months ago
A Framework for Adaptive Synchronization of Distributed Simulations
Increased complexity of simulation models and the related modeling needs for global supply chains have necessitated the execution of simulations on multiple processors. While dist...
Bertan Altuntas, Richard A. Wysk
ISVC
2009
Springer
15 years 6 months ago
DRONE: A Flexible Framework for Distributed Rendering and Display
The available rendering performance on current computers increases constantly, primarily by employing parallel algorithms using the newest many-core hardware, as for example multi-...
Michael Repplinger, Alexander Löffler, Dmitri...
LCPC
1997
Springer
15 years 4 months ago
Automatic Data Decomposition for Message-Passing Machines
The data distribution problem is very complex, because it involves trade-offdecisions between minimizing communication and maximizing parallelism. A common approach towards solving...
Mirela Damian-Iordache, Sriram V. Pemmaraju
ASUNAM
2011
IEEE
13 years 12 months ago
DisNet: A Framework for Distributed Graph Computation
—With the rise of network science as an exciting interdisciplinary research topic, efficient graph algorithms are in high demand. Problematically, many such algorithms measuring...
Ryan Lichtenwalter, Nitesh V. Chawla
ACML
2009
Springer
15 years 3 months ago
Max-margin Multiple-Instance Learning via Semidefinite Programming
In this paper, we present a novel semidefinite programming approach for multiple-instance learning. We first formulate the multipleinstance learning as a combinatorial maximum marg...
Yuhong Guo