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    BMCBI
    2005
    118views more  BMCBI 2005»
    Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
    13 years 8 months ago
    Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
    Download  www.biomedcentral.com
    Background: In the clinical context, samples assayed by microarray are often classified by cell line or tumour type and it is of interest to discover a set of genes that can be us...
    Thanyaluk Jirapech-Umpai, J. Stuart Aitken
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    CATA
    2009
    186views Computer Science» more  CATA 2009»
    Nearest Shrunken Centroid as Feature Selection of Microarray Data
    13 years 9 months ago
    Nearest Shrunken Centroid as Feature Selection of Microarray Data
    Download  public.clunet.edu
    The nearest shrunken centroid classifier uses shrunken centroids as prototypes for each class and test samples are classified to belong to the class whose shrunken centroid is nea...
    Myungsook Klassen, Nyunsu Kim
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    ESANN
    2008
    137views Neural Networks» more  ESANN 2008»
    Classification of chestnuts with feature selection by noise resilient classifiers
    13 years 10 months ago
    Classification of chestnuts with feature selection by noise resilient classifiers
    Download  www.dice.ucl.ac.be
    In this paper we solve the problem of classifying chestnut plants according to their place of origin. We compare the results obtained by state of the art classifiers, among which,...
    Elena Roglia, Rossella Cancelliere, Rosa Meo
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    ESWA
    2008
    141views more  ESWA 2008»
    Classifier design with feature selection and feature extraction using layered genetic programming
    13 years 8 months ago
    Classifier design with feature selection and feature extraction using layered genetic programming
    Download  myweb.nutn.edu.tw
    This paper proposes a novel method called FLGP to construct a classifier device of capability in feature selection and feature extraction. FLGP is developed with layered genetic p...
    Jung-Yi Lin, Hao-Ren Ke, Been-Chian Chien, Wei-Pan...
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    TREC
    2004
    103views Information Technology» more  TREC 2004»
    Feature Generation, Feature Selection, Classifiers, and Conceptual Drift for Biomedical Document Triage
    13 years 10 months ago
    Feature Generation, Feature Selection, Classifiers, and Conceptual Drift for Biomedical Document Triage
    Download  trec.nist.gov
    We approached the problem of classifying papers for the TREC 2004 Genomics Track triage task as a four step process: feature generation, feature selection, classifier training, an...
    Aaron M. Cohen, Ravi Teja Bhupatiraju, William R. ...
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