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» An Experimental Study on Feature Subset Selection Methods
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BMCBI
2005
94views more  BMCBI 2005»
15 years 4 months ago
A method for finding single-nucleotide polymorphisms with allele frequencies in sequences of deep coverage
Background: The allele frequencies of single-nucleotide polymorphisms (SNPs) are needed to select an optimal subset of common SNPs for use in association studies. Sequence-based m...
Jianmin Wang, Xiaoqiu Huang
DMIN
2006
114views Data Mining» more  DMIN 2006»
15 years 5 months ago
Towards Using Fewer Features for Text Classification
Abstract-- Text classification or categorization is a conventional classification problem applied to the text domain. In the cases when statistical classification methods are used,...
Yuan Yuan, Tianyang Gu
161
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ICMCS
2007
IEEE
180views Multimedia» more  ICMCS 2007»
15 years 4 months ago
Content-Based Image Categorization and Retrieval using Neural Networks
We propose a neural network based method for organizing images for content-based image retrieval. We use spectral histogram features, the histograms of filtered images to capture...
Yuhua Zhu, Xiuwen Liu, Washington Mio
EOR
2007
165views more  EOR 2007»
15 years 4 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
ICIC
2009
Springer
15 years 1 months ago
Towards a Better Understanding of Random Forests through the Study of Strength and Correlation
In this paper we present a study on the Random Forest (RF) family of ensemble methods. From our point of view, a "classical" RF induction process presents two main drawba...
Simon Bernard, Laurent Heutte, Sébastien Ad...