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    » Predicting Nucleolar Proteins Using Support-Vector Machines
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    KDD
    2002
    ACM
    160views Data Mining» more  KDD 2002»
    Scaling multi-class support vector machines using inter-class confusion
    14 years 7 months ago
    Scaling multi-class support vector machines using inter-class confusion
    Download  www.it.iitb.ac.in
    Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...
    Shantanu Godbole, Sunita Sarawagi, Soumen Chakraba...
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    ICMLA
    2009
    159views Machine Learning» more  ICMLA 2009»
    Improving Clinical Relevance in Ensemble Support Vector Machine Models of Radiation Pneumonitis Risk
    13 years 5 months ago
    Improving Clinical Relevance in Ensemble Support Vector Machine Models of Radiation Pneumonitis Risk
    Download  www.cse.wustl.edu
    Patients undergoing thoracic radiation therapy can develop radiation pneumonitis (RP), a potentially fatal inflammation of the lungs. Support vector machines (SVMs), a statistical...
    Todd W. Schiller, Yixin Chen, Issam El-Naqa, Josep...
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    ICDM
    2005
    IEEE
    135views Data Mining» more  ICDM 2005»
    Bit Reduction Support Vector Machine
    14 years 1 months ago
    Bit Reduction Support Vector Machine
    Download  www.csee.usf.edu
    Abstract— Support vector machines are very accurate classifiers and have been widely used in many applications. However, the training and to a lesser extent prediction time of s...
    Tong Luo, Lawrence O. Hall, Dmitry B. Goldgof, And...
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    SNPD
    2004
    156views Artificial Intelligence» more  SNPD 2004»
    Using extended phylogenetc profiles and support vector machines for protein family classification
    13 years 8 months ago
    Using extended phylogenetc profiles and support vector machines for protein family classification
    Download  www.eecis.udel.edu
    We proposed a new approach to compare profiles when the correlations among attributes can be represented as a tree. To account for these correlations, the profile is extended with...
    Kishore Narra, Li Liao
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    BIOINFORMATICS
    2006
    105views more  BIOINFORMATICS 2006»
    Support vector machine learning from heterogeneous data: an empirical analysis using protein sequence and structure
    13 years 7 months ago
    Support vector machine learning from heterogeneous data: an empirical analysis using protein sequence and structure
    Download  noble.gs.washington.edu
    Darrin P. Lewis, Tony Jebara, William Stafford Nob...
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