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BMCBI
2007
149views more  BMCBI 2007»
14 years 9 months ago
A unified framework for finding differentially expressed genes from microarray experiments
Background: This paper presents a unified framework for finding differentially expressed genes (DEGs) from the microarray data. The proposed framework has three interrelated modul...
Jahangheer S. Shaik, Mohammed Yeasin
TSE
2002
140views more  TSE 2002»
14 years 9 months ago
Test Case Prioritization: A Family of Empirical Studies
To reduce the cost of regression testing, software testers may prioritize their test cases so that those which are more important, by some measure, are run earlier in the regressi...
Sebastian G. Elbaum, Alexey G. Malishevsky, Gregg ...
ICML
2009
IEEE
15 years 10 months ago
Partially supervised feature selection with regularized linear models
This paper addresses feature selection techniques for classification of high dimensional data, such as those produced by microarray experiments. Some prior knowledge may be availa...
Thibault Helleputte, Pierre Dupont
94
Voted
ICTAI
1992
IEEE
15 years 1 months ago
Genetic Algorithms as a Tool for Feature Selection in Machine Learning
This paper describes an approach being explored to improve the usefulness of machine learning techniques for generating classification rules for complex, real world data. The appr...
Haleh Vafaie, Kenneth A. De Jong
PKDD
2007
Springer
121views Data Mining» more  PKDD 2007»
15 years 3 months ago
Improved Algorithms for Univariate Discretization of Continuous Features
In discretization of a continuous variable its numerical value range is divided into a few intervals that are used in classification. For example, Na¨ıve Bayes can benefit from...
Jussi Kujala, Tapio Elomaa