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    CORR
    2010
    Springer
    74views Education» more  CORR 2010»
    Significance of Classification Techniques in Prediction of Learning Disabilities
    13 years 5 months ago
    Significance of Classification Techniques in Prediction of Learning Disabilities
    Download  airccse.org
    The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age chil...
    Julie M. David, Kannan Balakrishnan
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    CHI
    2008
    ACM
    157views Human Computer Interaction» more  CHI 2008»
    Design, adoption, and assessment of a socio-technical environment supporting independence for persons with cognitive disabilitie
    14 years 5 months ago
    Design, adoption, and assessment of a socio-technical environment supporting independence for persons with cognitive disabilitie
    Download  net.indra.com
    A significant fraction of persons with cognitive disabilities are potentially able to live more independently with the use of powerful tools embedded in their social environment. ...
    Stefan Carmien, Gerhard Fischer
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    AINA
    2007
    IEEE
    110views Computer Networks» more  AINA 2007»
    Extracting Significant Phrases from Text
    13 years 11 months ago
    Extracting Significant Phrases from Text
    Download  gan.anu.edu.au
    Prospective readers can quickly determine whether a document is relevant to their information need if the significant phrases (or keyphrases) in this document are provided. Althou...
    Yuan J. Lui, Richard Brent, Ani Calinescu
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    ANNS
    2007
    122views Neural Networks» more  ANNS 2007»
    Direct and indirect classification of high-frequency LNA performance using machine learning techniques
    13 years 6 months ago
    Direct and indirect classification of high-frequency LNA performance using machine learning techniques
    Download  eprints.nuim.ie
    The task of determining low noise amplifier (LNA) high-frequency performance in functional testing is as challenging as designing the circuit itself due to the difficulties associa...
    Peter C. Hung, Seán F. McLoone, Magdalena S...
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    BMCBI
    2006
    173views more  BMCBI 2006»
    Kernel-based distance metric learning for microarray data classification
    13 years 5 months ago
    Kernel-based distance metric learning for microarray data classification
    Download  www.biomedcentral.com
    Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
    Huilin Xiong, Xue-wen Chen
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