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    ESWA
    2007
    176views more  ESWA 2007»
    Credit scoring with a data mining approach based on support vector machines
    13 years 5 months ago
    Credit scoring with a data mining approach based on support vector machines
    Download  nlg.csie.ntu.edu.tw
    The credit card industry has been growing rapidly recently, and thus huge numbers of consumers’ credit data are collected by the credit department of the bank. The credit scorin...
    Cheng-Lung Huang, Mu-Chen Chen, Chieh-Jen Wang
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    TSMC
    2008
    106views more  TSMC 2008»
    Two Criteria for Model Selection in Multiclass Support Vector Machines
    13 years 5 months ago
    Two Criteria for Model Selection in Multiclass Support Vector Machines
    Download  users.cecs.anu.edu.au
    Abstract--Practical applications call for efficient model selection criteria for multiclass support vector machine (SVM) classification. To solve this problem, this paper develops ...
    Lei Wang, Ping Xue, Kap Luk Chan
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    DAC
    2008
    ACM
    191views Computer Architecture» more  DAC 2008»
    Functional test selection based on unsupervised support vector analysis
    14 years 6 months ago
    Functional test selection based on unsupervised support vector analysis
    Download  www.cs.bris.ac.uk
    Extensive software-based simulation continues to be the mainstream methodology for functional verification of designs. To optimize the use of limited simulation resources, coverag...
    Onur Guzey, Li-C. Wang, Jeremy R. Levitt, Harry Fo...
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    CSDA
    2007
    105views more  CSDA 2007»
    Model selection for support vector machines via uniform design
    13 years 5 months ago
    Model selection for support vector machines via uniform design
    Download  www.personal.psu.edu
    The problem of choosing a good parameter setting for a better generalization performance in a learning task is the so-called model selection. A nested uniform design (UD) methodol...
    Chien-Ming Huang, Yuh-Jye Lee, Dennis K. J. Lin, S...
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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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