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    ESWA
    2006
    122views more  ESWA 2006»
    Transmembrane segments prediction and understanding using support vector machine and decision tree
    13 years 9 months ago
    Transmembrane segments prediction and understanding using support vector machine and decision tree
    Download  www.cs.gsu.edu
    In recent years, there have been many studies focusing on improving the accuracy of prediction of transmembrane segments, and many significant results have been achieved. In spite...
    Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C...
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    ESWA
    2007
    176views more  ESWA 2007»
    Credit scoring with a data mining approach based on support vector machines
    13 years 9 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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    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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    VLDB
    2007
    ACM
    164views Database» more  VLDB 2007»
    A new intrusion detection system using support vector machines and hierarchical clustering
    14 years 9 months ago
    A new intrusion detection system using support vector machines and hierarchical clustering
    Download  www.utdallas.edu
    Whenever an intrusion occurs, the security and value of a computer system is compromised. Network-based attacks make it difficult for legitimate users to access various network ser...
    Latifur Khan, Mamoun Awad, Bhavani M. Thuraisingha...
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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 9 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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