1950 search results - page 122 / 390 » Informative sampling for large unbalanced data sets |
136
Voted
INFOCOM
2006
IEEE
15 years 9 months ago
2006
IEEE
Abstract— When multiple paths are available between communicating hosts, application quality can be improved by switching among them to always use the best one. The key to such a...
135
Voted
IJHPCA
2010
15 years 1 months ago
2010
We describe and evaluate a new, pipelined algorithm for large, irregular all-gather problems. In the irregular all-gather problem each process in a set of processes contributes in...
156
Voted
SDM
2007
SIAM
15 years 4 months ago
2007
SIAM
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
111
Voted
PR
2008
15 years 3 months ago
2008
Clustering in gene expression data sets is a challenging problem. Different algorithms for clustering of genes have been proposed. However due to the large number of genes only a ...
117
Voted
ICASSP
2008
IEEE
15 years 10 months ago
2008
IEEE
In region surveillance applications, sensors oftentimes accumulate an overwhelmingly large amount of data, making it infeasible to process all of the collected data in real-time. ...