1915 search results - page 120 / 383 » Computing LTS Regression for Large Data Sets |
IPSN
2005
Springer
14 years 2 months ago
2005
Springer
— Many inference problems that arise in sensor networks require the computation of a global conclusion that is consistent with local information known to each node. A large class...
GCB
2003
Springer
14 years 2 months ago
2003
Springer
Clustering of EST data is a method for the non-redundant representation of an organisms transcriptome. During clustering of large amounts of EST data, usually some large clusters ...
BMCBI
2006
13 years 9 months ago
2006
Background: Many statistical algorithms combine microarray expression data and genome sequence data to identify transcription factor binding motifs in the low eukaryotic genomes. ...
CIKM
1997
Springer
14 years 1 months ago
1997
Springer
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
ESCIENCE
2006
IEEE
14 years 3 months ago
2006
IEEE
Grid computing is becoming the natural way to aggregate and share large and heterogeneous sets of resources. However, grid development and acceptance hinge on proving that grids r...