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CIARP
2011
Springer
12 years 8 months ago
A Minority Class Feature Selection Method
Abstract. In many classification problems, and in particular in medical domains, it is common to have an unbalanced class distribution. This pose problems to classifiers as they ...
German Cuaya, Angélica Muñoz-Mel&eac...
CSB
2005
IEEE
143views Bioinformatics» more  CSB 2005»
14 years 2 months ago
Multivariate gene selection: Does it help
When building predictors of disease state based on gene expression data, gene selection is performed in order to achieve a good performance and to identify a relevant subset of ge...
Carmen Lai, Marcel J. T. Reinders
NETGAMES
2005
ACM
14 years 1 months ago
Game server selection for multiple players
The increase in power and connectivity of computers has enabled a growth in network games, with many games having numerous servers to which a player can connect. The game server s...
Steven Gargolinski, Christopher St. Pierre, Mark C...
BMCBI
2006
122views more  BMCBI 2006»
13 years 8 months ago
A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets
Background: Gene selection is an important step when building predictors of disease state based on gene expression data. Gene selection generally improves performance and identifi...
Carmen Lai, Marcel J. T. Reinders, Laura J. van't ...
ICDS
2008
IEEE
14 years 2 months ago
A New Server Selection Strategy for Reliable Server Pooling in Widely Distributed Environments
In order to provide a generic, applicationindependent and resource-efficient framework for server redundancy and session failover, the IETF RSerPool WG is currently standardizing ...
Xing Zhou, Thomas Dreibholz, Erwin P. Rathgeb