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    KDD
    2004
    ACM
    302views Data Mining» more  KDD 2004»
    Redundancy based feature selection for microarray data
    16 years 4 months ago
    Redundancy based feature selection for microarray data
    Download  www.public.asu.edu
    In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
    Lei Yu, Huan Liu
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    127
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    BMCBI
    2008
    179views more  BMCBI 2008»
    Building pathway clusters from Random Forests classification using class votes
    15 years 3 months ago
    Building pathway clusters from Random Forests classification using class votes
    Download  www.biomedcentral.com
    Background: Recent years have seen the development of various pathway-based methods for the analysis of microarray gene expression data. These approaches have the potential to bri...
    Herbert Pang, Hongyu Zhao
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    115
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    ENGL
    2007
    71views more  ENGL 2007»
    Inductive Classifying Artificial Network for Fly Ash Type Categorization
    15 years 3 months ago
    Inductive Classifying Artificial Network for Fly Ash Type Categorization
    Download  www.engineeringletters.com
    Nowadays, fly ash is a common ingredient of concrete and may constitute up to 50% by weight of the total binder material. Incorporation of fly ash in Portland-cement concrete is hi...
    M. C. Nataraja, M. A. Jayaram, C. N. Ravikumar
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    105
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    IJCNN
    2008
    IEEE
    125views Neural Networks» more  IJCNN 2008»
    Clustering of cancer tissues using diffusion maps and fuzzy ART with gene expression data
    15 years 10 months ago
    Clustering of cancer tissues using diffusion maps and fuzzy ART with gene expression data
    Download  scholarsmine.mst.edu
    Rui Xu, Steven Damelin, Donald C. Wunsch
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    162
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    IJAR
    2006
    133views more  IJAR 2006»
    Extraction of similarity based fuzzy rules from artificial neural networks
    15 years 3 months ago
    Extraction of similarity based fuzzy rules from artificial neural networks
    Download  hera.ugr.es
    A method to extract a fuzzy rule based system from a trained artificial neural network for classification is presented. The fuzzy system obtained is equivalent to the correspondin...
    Carlos Javier Mantas, José Manuel Puche, J....
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