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    GFKL
    2007
    Springer
    163views Data Mining» more  GFKL 2007»
    Fast Support Vector Machine Classification of Very Large Datasets
    14 years 19 days ago
    Fast Support Vector Machine Classification of Very Large Datasets
    Download  lmb.informatik.uni-freiburg.de
    In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...
    Janis Fehr, Karina Zapien Arreola, Hans Burkhardt
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    AAAI
    2008
    154views Intelligent Agents» more  AAAI 2008»
    In-the-Dark Network Traffic Classification Using Support Vector Machines
    13 years 11 months ago
    In-the-Dark Network Traffic Classification Using Support Vector Machines
    Download  www.cs.wfu.edu
    This work addresses the problem of in-the-dark traffic classification for TCP sessions, an important problem in network management. An innovative use of support vector machines (S...
    William H. Turkett Jr., Andrew V. Karode, Errin W....
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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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    ICML
    2004
    IEEE
    171views Machine Learning» more  ICML 2004»
    Robust feature induction for support vector machines
    14 years 9 months ago
    Robust feature induction for support vector machines
    Download  www.public.asu.edu
    The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
    Rong Jin, Huan Liu
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    SDM
    2010
    SIAM
    226views Data Mining» more  SDM 2010»
    Two-View Transductive Support Vector Machines
    13 years 10 months ago
    Two-View Transductive Support Vector Machines
    Download  www.cais.ntu.edu.sg
    Obtaining high-quality and up-to-date labeled data can be difficult in many real-world machine learning applications, especially for Internet classification tasks like review spam...
    Guangxia Li, Steven C. H. Hoi, Kuiyu Chang
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