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    ESWA
    2007
    146views more  ESWA 2007»
    A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy
    14 years 9 months ago
    A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy
    Download  mcdm.ntcu.edu.tw
    Two parameters, C and r, must be carefully predetermined in establishing an efficient support vector machine (SVM) model. Therefore, the purpose of this study is to develop a gene...
    Chih-Hung Wu, Gwo-Hshiung Tzeng, Yeong-Jia Goo, We...
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    ICML
    2007
    IEEE
    179views Machine Learning» more  ICML 2007»
    A kernel path algorithm for support vector machines
    15 years 10 months ago
    A kernel path algorithm for support vector machines
    Download  www.machinelearning.org
    The choice of the kernel function which determines the mapping between the input space and the feature space is of crucial importance to kernel methods. The past few years have se...
    Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky
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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
    14 years 10 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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    DAGM
    2008
    Springer
    111views Image Processing» more  DAGM 2008»
    Simple Incremental One-Class Support Vector Classification
    14 years 11 months ago
    Simple Incremental One-Class Support Vector Classification
    Download  www.inb.uni-luebeck.de
    We introduce the OneClassMaxMinOver (OMMO) algorithm for the problem of one-class support vector classification. The algorithm is extremely simple and therefore a convenient choice...
    Kai Labusch, Fabian Timm, Thomas Martinetz
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    JMLR
    2006
    91views more  JMLR 2006»
    QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines
    14 years 9 months ago
    QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines
    Download  jmlr.csail.mit.edu
    We describe polynomial
    Don R. Hush, Patrick Kelly, Clint Scovel, Ingo Ste...
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