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BMCBI
2002
188views more  BMCBI 2002»
13 years 9 months ago
The limit fold change model: A practical approach for selecting differentially expressed genes from microarray data
Background: The biomedical community is developing new methods of data analysis to more efficiently process the massive data sets produced by microarray experiments. Systematic an...
David M. Mutch, Alvin Berger, Robert Mansourian, A...
PRL
2007
180views more  PRL 2007»
13 years 8 months ago
Feature selection based on rough sets and particle swarm optimization
: We propose a new feature selection strategy based on rough sets and Particle Swarm Optimization (PSO). Rough sets has been used as a feature selection method with much success, b...
Xiangyang Wang, Jie Yang, Xiaolong Teng, Weijun Xi...
ICNC
2005
Springer
14 years 2 months ago
An Improved Method of Feature Selection Based on Concept Attributes in Text Classification
The feature selection and weighting are two important parts of automatic text classification. In this paper we give a new method based on concept attributes. We use the DEF Terms o...
Shasha Liao, Minghu Jiang
VIS
2005
IEEE
146views Visualization» more  VIS 2005»
14 years 10 months ago
View Selection for Volume Rendering
In a visualization of a three-dimensional dataset, the insights gained are dependent on what is occluded and what is not. Suggestion of interesting viewpoints can improve both the...
Udeepta Bordoloi, Han-Wei Shen
AUSDM
2008
Springer
367views Data Mining» more  AUSDM 2008»
13 years 11 months ago
Categorical Proportional Difference: A Feature Selection Method for Text Categorization
Supervised text categorization is a machine learning task where a predefined category label is automatically assigned to a previously unlabelled document based upon characteristic...
Mondelle Simeon, Robert J. Hilderman