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    BMCBI
    2007
    147views more  BMCBI 2007»
    Improved residue contact prediction using support vector machines and a large feature set
    13 years 9 months ago
    Improved residue contact prediction using support vector machines and a large feature set
    Download  www.eecs.ucf.edu
    Background: Predicting protein residue-residue contacts is an important 2D prediction task. It is useful for ab initio structure prediction and understanding protein folding. In s...
    Jianlin Cheng, Pierre Baldi
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    CSDA
    2007
    105views more  CSDA 2007»
    Model selection for support vector machines via uniform design
    13 years 9 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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    KDD
    2005
    ACM
    143views Data Mining» more  KDD 2005»
    SVM selective sampling for ranking with application to data retrieval
    14 years 9 months ago
    SVM selective sampling for ranking with application to data retrieval
    Download  hwanjoyu.org
    Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
    Hwanjo Yu
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    SAC
    2008
    ACM
    133views Applied Computing» more  SAC 2008»
    Towards automatic feature vector optimization for multimedia applications
    13 years 8 months ago
    Towards automatic feature vector optimization for multimedia applications
    Download  www.gris.informatik.tu-darmstadt.de
    We systematically evaluate a recently proposed method for unsupervised discrimination power analysis for feature selection and optimization in multimedia applications. A series of...
    Tobias Schreck, Dieter W. Fellner, Daniel A. Keim
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    BMCBI
    2005
    251views more  BMCBI 2005»
    Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
    13 years 9 months ago
    Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
    Download  www.biomedcentral.com
    Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
    Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...
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