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    KDD
    2004
    ACM
    302views Data Mining» more  KDD 2004»
    Redundancy based feature selection for microarray data
    14 years 8 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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    BMCBI
    2008
    179views more  BMCBI 2008»
    Building pathway clusters from Random Forests classification using class votes
    13 years 7 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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    ENGL
    2007
    71views more  ENGL 2007»
    Inductive Classifying Artificial Network for Fly Ash Type Categorization
    13 years 7 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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    IJCNN
    2008
    IEEE
    125views Neural Networks» more  IJCNN 2008»
    Clustering of cancer tissues using diffusion maps and fuzzy ART with gene expression data
    14 years 1 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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    IJAR
    2006
    133views more  IJAR 2006»
    Extraction of similarity based fuzzy rules from artificial neural networks
    13 years 7 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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