58 search results - page 2 / 12 » Distributed Machine Learning: Scaling Up with Coarse-grained... |
119
click to vote
WWW
2011
ACM
14 years 6 months ago
2011
ACM
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
125
click to vote
OSDI
2008
ACM
15 years 2 months ago
2008
ACM
DryadLINQ is a system and a set of language extensions that enable a new programming model for large scale distributed computing. It generalizes previous execution environments su...
SIAMSC
2008
14 years 11 months ago
2008
Abstract. In this article, we propose new parallel algorithms for the construction and 2:1 balance refinement of large linear octrees on distributed memory machines. Such octrees a...
139
click to vote
TNN
2008
14 years 11 months ago
2008
We propose a distributed parallel support vector machine (DPSVM) training mechanism in a configurable network environment for distributed data mining. The basic idea is to exchange...
102
click to vote
ICDCS
2011
IEEE
13 years 11 months ago
2011
IEEE
—Massively parallel scientific applications, running on extreme-scale supercomputers, produce hundreds of terabytes of data per run, driving the need for storage solutions to im...