58 search results - page 1 / 12 » Distributed Machine Learning: Scaling Up with Coarse-grained... |
HPCC
2005
Springer
13 years 10 months ago
2005
Springer
Hierarchical clustering methods are important in many data mining and pattern recognition tasks. In this paper we present an efficient coarse grained parallel algorithm for Single...
ISMB
1994
13 years 6 months ago
1994
ML
2000
ACM
13 years 4 months ago
2000
ACM
This paper discusses a novel distributed adaptive algorithm and representation used to construct populations of adaptive Web agents. These InfoSpiders browse networked information ...
IFIP12
2008
13 years 6 months ago
2008
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
SDM
2012
SIAM
11 years 7 months ago
2012
SIAM
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...