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    » A Support Vector Clustering Method
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    ICMLA
    2004
    129views Machine Learning» more  ICMLA 2004»
    Income prediction via support vector machine
    15 years 7 months ago
    Income prediction via support vector machine
    Download  www.cis.ysu.edu
    Alina Lazar
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    ESWA
    2007
    127views more  ESWA 2007»
    Clustering support vector machines for protein local structure prediction
    15 years 6 months ago
    Clustering support vector machines for protein local structure prediction
    Download  www.cs.gsu.edu
    Understanding the sequence-to-structure relationship is a central task in bioinformatics research. Adequate knowledge about this relationship can potentially improve accuracy for ...
    Wei Zhong, Jieyue He, Robert W. Harrison, Phang C....
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    172
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    ICIC
    2007
    Springer
    96views Applied Computing» more  ICIC 2007»
    Fuzzy Modeling Via On-Line Clustering and Support Vector Machine
    16 years 15 days ago
    Fuzzy Modeling Via On-Line Clustering and Support Vector Machine
    Download  www.ctrl.cinvestav.mx
    Abstract. This paper describes a novel fuzzy rule-based modeling approach for some slow industrial processses. Structure identification is realized by clustering and support vecto...
    Julio César Tovar, Wen Yu, Xiaoou Li
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    CAS
    2007
    69views more  CAS 2007»
    Design of Decision Tree via Kernelized Hierarchical Clustering for Multiclass Support Vector Machines
    15 years 6 months ago
    Design of Decision Tree via Kernelized Hierarchical Clustering for Multiclass Support Vector Machines
    Download  www.ece.eng.wayne.edu
    Zhao Lu, Feng Lin, Hao Ying
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    205
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    CIBCB
    2006
    IEEE
    101views Computational Biology» more  CIBCB 2006»
    Visualization of Support Vector Machines with Unsupervised Learning
    16 years 13 days ago
    Visualization of Support Vector Machines with Unsupervised Learning
    Download  homepage.cs.uri.edu
    – The visualization of support vector machines in realistic settings is a difficult problem due to the high dimensionality of the typical datasets involved. However, such visuali...
    Lutz Hamel
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