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    EVOW
    2006
    Springer
    81views Artificial Intelligence» more  EVOW 2006»
    On the Use of Variable Complementarity for Feature Selection in Cancer Classification
    13 years 8 months ago
    On the Use of Variable Complementarity for Feature Selection in Cancer Classification
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    Patrick Emmanuel Meyer, Gianluca Bontempi
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    IJON
    2006
    146views more  IJON 2006»
    Feature selection and classification using flexible neural tree
    13 years 4 months ago
    Feature selection and classification using flexible neural tree
    Download  www.softcomputing.net
    The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
    Yuehui Chen, Ajith Abraham, Bo Yang
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    GECCO
    2007
    Springer
    179views Optimization» more  GECCO 2007»
    Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
    13 years 11 months ago
    Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
    Download  www.cs.bham.ac.uk
    Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
    Alper Küçükural, Reyyan Yeniterzi...
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    CANDC
    2005
    ACM
    160views Emerging Technology» more  CANDC 2005»
    Gene selection from microarray data for cancer classification - a machine learning approach
    13 years 4 months ago
    Gene selection from microarray data for cancer classification - a machine learning approach
    Download  cbio.ensmp.fr
    A DNA microarray can track the expression levels of thousands of genes simultaneously. Previous research has demonstrated that this technology can be useful in the classification ...
    Yu Wang 0008, Igor V. Tetko, Mark A. Hall, Eibe Fr...
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    CIBCB
    2005
    IEEE
    131views Computational Biology» more  CIBCB 2005»
    Two-Phase EA/k-NN for Feature Selection and Classification in Cancer Microarray Datasets
    13 years 10 months ago
    Two-Phase EA/k-NN for Feature Selection and Classification in Cancer Microarray Datasets
    Download  www.macs.hw.ac.uk
    Efficient and reliable methods that can find a small sample of informative genes amongst thousands are of great importance. In this area, much research is investigating the combina...
    Thorhildur Juliusdottir, David Corne, Ed Keedwell,...
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