58 search results - page 3 / 12 » Distributed Machine Learning: Scaling Up with Coarse-grained... |
CORR
2008
Springer
13 years 5 months ago
2008
Springer
Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic program...
AOIS
2004
13 years 7 months ago
2004
Large scale multi-agent systems (MASs) in unpredictable environments must use machine learning techniques to perform their goals and improve the performance of the system. This pap...
CNHPCA
2009
Springer
14 years 6 days ago
2009
Springer
This paper is a report on experiences in benchmarking I/O performance on leading computational facilities on the NSF TeraGrid network with a large scale scientific application. In...
IEEECIT
2010
IEEE
13 years 4 months ago
2010
IEEE
—This paper compares parallel and distributed implementations of an iterative, Gibbs sampling, machine learning algorithm. Distributed implementations run under Hadoop on facilit...
PPOPP
2009
ACM
14 years 6 months ago
2009
ACM
The efficient mapping of program parallelism to multi-core processors is highly dependent on the underlying architecture. This paper proposes a portable and automatic compiler-bas...