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    ICML
    2005
    IEEE
    161views Machine Learning» more  ICML 2005»
    Adapting two-class support vector classification methods to many class problems
    14 years 6 months ago
    Adapting two-class support vector classification methods to many class problems
    Download  people.cs.ubc.ca
    A geometric construction is presented which is shown to be an effective tool for understanding and implementing multi-category support vector classification. It is demonstrated ho...
    Simon I. Hill, Arnaud Doucet
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    ICCS
    2007
    Springer
    152views Applied Computing» more  ICCS 2007»
    Text Classification with Support Vector Machine and Back Propagation Neural Network
    13 years 12 months ago
    Text Classification with Support Vector Machine and Back Propagation Neural Network
    Download  meta-synthesis.iss.ac.cn
    Abstract. We compared a support vector machine (SVM) with a back propagation neural network (BPNN) for the task of text classification of XiangShan science conference (XSSC) web do...
    Wen Zhang, Xijin Tang, Taketoshi Yoshida
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    JCB
    2006
    138views more  JCB 2006»
    Recognition and Classification of Histones Using Support Vector Machine
    13 years 5 months ago
    Recognition and Classification of Histones Using Support Vector Machine
    Download  bio.dfci.harvard.edu
    Histones are DNA-binding proteins found in the chromatin of all eukaryotic cells. They are highly conserved and can be grouped into five major classes: H1/H5, H2A, H2B, H3, and H4...
    Manoj Bhasin, Ellis L. Reinherz, Pedro A. Reche
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    BMCBI
    2010
    151views more  BMCBI 2010»
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
    13 years 5 months ago
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
    Download  www.biomedcentral.com
    Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
    Zhanchao Li, Xuan Zhou, Zong Dai, Xiaoyong Zou
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    ICML
    2007
    IEEE
    126views Machine Learning» more  ICML 2007»
    Hybrid huberized support vector machines for microarray classification
    14 years 6 months ago
    Hybrid huberized support vector machines for microarray classification
    Download  www.machinelearning.org
    The large number of genes and the relatively small number of samples are typical characteristics for microarray data. These characteristics pose challenges for both sample classif...
    Li Wang, Ji Zhu, Hui Zou
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