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ATAL
2007
Springer
15 years 9 months ago
A framework for agent-based distributed machine learning and data mining
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek
NIPS
2008
15 years 4 months ago
Implicit Mixtures of Restricted Boltzmann Machines
We present a mixture model whose components are Restricted Boltzmann Machines (RBMs). This possibility has not been considered before because computing the partition function of a...
Vinod Nair, Geoffrey E. Hinton
JMLR
2006
80views more  JMLR 2006»
15 years 3 months ago
Using Machine Learning to Guide Architecture Simulation
An essential step in designing a new computer architecture is the careful examination of different design options. It is critical that computer architects have efficient means by ...
Greg Hamerly, Erez Perelman, Jeremy Lau, Brad Cald...
149
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NLE
2007
180views more  NLE 2007»
15 years 2 months ago
Segmentation and alignment of parallel text for statistical machine translation
We address the problem of extracting bilingual chunk pairs from parallel text to create training sets for statistical machine translation. We formulate the problem in terms of a s...
Yonggang Deng, Shankar Kumar, William Byrne
HPDC
2011
IEEE
14 years 7 months ago
Wrangler: virtual cluster provisioning for the cloud
Cloud computing systems are becoming an important platform for science applications. Infrastructure as a Service (IaaS) clouds provide the capability to provision virtual machines...
Gideon Juve, Ewa Deelman