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    APBC
    2004
    132views Bioinformatics» more  APBC 2004»
    A Novel Feature Selection Method to Improve Classification of Gene Expression Data
    13 years 9 months ago
    A Novel Feature Selection Method to Improve Classification of Gene Expression Data
    Download  crpit.com
    This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
    Liang Goh, Qun Song, Nikola K. Kasabov
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    ACST
    2006
    227views Computer Science» more  ACST 2006»
    PDC: Pattern discovery with confidence in DNA sequences
    13 years 9 months ago
    PDC: Pattern discovery with confidence in DNA sequences
    Download  www.cs.wmich.edu
    Pattern discovery in DNA sequences is one of the most challenging tasks in molecular biology and computer science. The main goal of pattern discovery in DNA sequences is to identi...
    Yi Lu, Shiyong Lu, Farshad Fotouhi, Yan Sun, Zijia...
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    ECIS
    2004
    122views Information Technology» more  ECIS 2004»
    Organizational Performance of a Firm in a Modular Business Network
    13 years 9 months ago
    Organizational Performance of a Firm in a Modular Business Network
    Download  is2.lse.ac.uk
    The organizational capabilities to interact with others have been greatly improved as a result of modern information and communications technologies: Nowadays a company can mainta...
    Diederik W. van Liere, Lorike Hagdorn van der Meij...
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    FLAIRS
    2004
    160views Artificial Intelligence» more  FLAIRS 2004»
    Inducing Fuzzy Decision Trees in Non-Deterministic Domains using CHAID
    13 years 9 months ago
    Inducing Fuzzy Decision Trees in Non-Deterministic Domains using CHAID
    Download  www.aaai.org
    Most decision tree induction methods used for extracting knowledge in classification problems are unable to deal with uncertainties embedded within the data, associated with human...
    Jay Fowdar, Zuhair Bandar, Keeley A. Crockett
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    DICTA
    2003
    236views Applied Computing» more  DICTA 2003»
    Background Modeling and Subtraction Using a Local-linear-dependence-based Cauchy Statistical Model
    13 years 9 months ago
    Background Modeling and Subtraction Using a Local-linear-dependence-based Cauchy Statistical Model
    Download  www.aprs.org.au
    ：Many motion object detection algorithms rely on the process of background subtraction, an important technique which is used for detecting changes from a model of the background ...
    Ying Ming, Jingjue Jiang, Jun Ming
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