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    ML
    2002
    ACM
    106views Machine Learning» more  ML 2002»
    Statistical Properties and Adaptive Tuning of Support Vector Machines
    13 years 4 months ago
    Statistical Properties and Adaptive Tuning of Support Vector Machines
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    Yi Lin, Grace Wahba, Hao Zhang, Yoonkyung Lee
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    NECO
    2007
    90views more  NECO 2007»
    Neighborhood Property-Based Pattern Selection for Support Vector Machines
    13 years 4 months ago
    Neighborhood Property-Based Pattern Selection for Support Vector Machines
    Download  www.kyb.mpg.de
    Support Vector Machine (SVM) has been spotlighted in the machine learning community thanks to its theoretical soundness and practical performance. When applied to a large data set...
    Hyunjung Shin, Sungzoon Cho
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    NECO
    1998
    83views more  NECO 1998»
    Properties of Support Vector Machines
    13 years 4 months ago
    Properties of Support Vector Machines
    Download  www.svms.org
    Support Vector Machines (SVMs) perform pattern recognition between two point classes by nding a decision surface determined by certain points of the training set, termed Support V...
    Massimiliano Pontil, Alessandro Verri
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    BMCBI
    2006
    106views more  BMCBI 2006»
    Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector
    13 years 4 months ago
    Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector
    Download  www.biomedcentral.com
    Metal-binding proteins play important roles in structural stability, signaling, regulation, transport, immune response, metabolism control, and metal homeostasis. Because of their...
    H. H. Lin, L. Y. Han, H. L. Zhang, C. J. Zheng, B....
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    JMLR
    2008
    110views more  JMLR 2008»
    A Bahadur Representation of the Linear Support Vector Machine
    13 years 4 months ago
    A Bahadur Representation of the Linear Support Vector Machine
    Download  jmlr.csail.mit.edu
    The support vector machine has been successful in a variety of applications. Also on the theoretical front, statistical properties of the support vector machine have been studied ...
    Ja-Yong Koo, Yoonkyung Lee, Yuwon Kim, Changyi Par...
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