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    AAAI
    2008
    154views Intelligent Agents» more  AAAI 2008»
    In-the-Dark Network Traffic Classification Using Support Vector Machines
    13 years 10 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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    ICPR
    2006
    IEEE
    143views computer vision» more  ICPR 2006»
    Fast Support Vector Machine Classification using linear SVMs
    14 years 9 months ago
    Fast Support Vector Machine Classification using linear SVMs
    Download  eprints.pascal-network.org
    We propose a classification method based on a decision tree whose nodes consist of linear Support Vector Machines (SVMs). Each node defines a decision hyperplane that classifies p...
    Karina Zapien Arreola, Janis Fehr, Hans Burkhardt
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    BMCBI
    2008
    116views more  BMCBI 2008»
    The combination approach of SVM and ECOC for powerful identification and classification of transcription factor
    13 years 8 months ago
    The combination approach of SVM and ECOC for powerful identification and classification of transcription factor
    Download  www.biomedcentral.com
    Background: Transcription factors (TFs) are core functional proteins which play important roles in gene expression control, and they are key factors for gene regulation network co...
    Guangyong Zheng, Ziliang Qian, Qing Yang, Chaochun...
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    ACL
    2009
    166views Computational Linguistics» more  ACL 2009»
    A Novel Discourse Parser Based on Support Vector Machine Classification
    13 years 5 months ago
    A Novel Discourse Parser Based on Support Vector Machine Classification
    Download  www.aclweb.org
    This paper introduces a new algorithm to parse discourse within the framework of Rhetorical Structure Theory (RST). Our method is based on recent advances in the field of statisti...
    David duVerle, Helmut Prendinger
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    EUROMICRO
    2003
    IEEE
    204views Software Engineering» more  EUROMICRO 2003»
    Color Texture Recognition in Video Sequences using Wavelet Covariance Features and Support Vector Machines
    14 years 1 months ago
    Color Texture Recognition in Video Sequences using Wavelet Covariance Features and Support Vector Machines
    Download  www.columbia.edu
    This paper pertains to the recognition of textural regions for color video analysis. The proposed scheme uses the covariance of 2nd -order statistics on the wavelet domain, betwee...
    Dimitrios K. Iakovidis, Dimitrios E. Maroulis, S. ...
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