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    ICPR
    2004
    IEEE
    144views computer vision» more  ICPR 2004»
    Signal Discrimination Using a Support Vector Machine for Genetic Syndrome Diagnosis
    14 years 10 months ago
    Signal Discrimination Using a Support Vector Machine for Genetic Syndrome Diagnosis
    Download  www.ee.bgu.ac.il
    In this study, a support vector machine (SVM) classifies real world data of cytogenetic signals measured from fluorescence in-situ hybridization (FISH) images in order to diagnose...
    Amit David, Boaz Lerner
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    ICPR
    2006
    IEEE
    143views computer vision» more  ICPR 2006»
    Fast Support Vector Machine Classification using linear SVMs
    14 years 10 months ago
    Fast Support Vector Machine Classification using linear SVMs
    Download  eprints.pascal-network.org
    We propose a classification method based on a decision tree whose nodes consist of linear Support Vector Machines (SVMs). Each node defines a decision hyperplane that classifies p...
    Karina Zapien Arreola, Janis Fehr, Hans Burkhardt
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    SDM
    2007
    SIAM
    81views Data Mining» more  SDM 2007»
    A PAC Bound for Approximate Support Vector Machines
    13 years 10 months ago
    A PAC Bound for Approximate Support Vector Machines
    Download  siam.org
    We study a class of algorithms that speed up the training process of support vector machines (SVMs) by returning an approximate SVM. We focus on algorithms that reduce the size of...
    Dongwei Cao, Daniel Boley
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    KDD
    2004
    ACM
    139views Data Mining» more  KDD 2004»
    Learning a complex metabolomic dataset using random forests and support vector machines
    14 years 9 months ago
    Learning a complex metabolomic dataset using random forests and support vector machines
    Download  math.uc.edu
    Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
    Young Truong, Xiaodong Lin, Chris Beecher
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    AUSDM
    2006
    Springer
    177views Data Mining» more  AUSDM 2006»
    On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning With The Decomposition Algorithm
    14 years 15 days ago
    On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning With The Decomposition Algorithm
    Download  crpit.com
    The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
    Tatjana Eitrich, Bruno Lang
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