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SEBD
2008
169views Database» more  SEBD 2008»
15 years 4 months ago
Clustering the Feature Space
Abstract Dino Ienco and Rosa Meo Dipartimento di Informatica, Universit`a di Torino, Italy In this paper we propose and test the use of hierarchical clustering for feature selectio...
Dino Ienco, Rosa Meo
CIBCB
2006
IEEE
15 years 4 months ago
A New Hybrid Approach for Unsupervised Gene Selection
In recent years, unsupervised gene (feature) selection has become an integral part of microarray analysis because of the large number of genes and complexity in biological systems....
Young Bun Kim, Jean Gao
173
Voted
CORR
2011
Springer
200views Education» more  CORR 2011»
14 years 10 months ago
Using Feature Weights to Improve Performance of Neural Networks
Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant fe...
Ridwan Al Iqbal
PRIB
2010
Springer
123views Bioinformatics» more  PRIB 2010»
15 years 1 months ago
Machine Learning Study of DNA Binding by Transcription Factors from the LacI Family
We studied 1372 LacI-family transcription factors and their 4484 DNA binding sites using machine learning algorithms and feature selection techniques. The Naive Bayes classifier a...
Gennady G. Fedonin, Mikhail S. Gelfand
INFSOF
2002
147views more  INFSOF 2002»
15 years 2 months ago
On the efficiency of domain-based COTS product selection method
Use of commercial-off-the-shelf (COTS) products is becoming a popular software development method. Current methods of selecting COTS products involve using the intuition of softwa...
Karl R. P. H. Leung, Hareton K. N. Leung