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    ICANN
    2007
    Springer
    122views Neural Networks» more  ICANN 2007»
    Incremental and Decremental Learning for Linear Support Vector Machines
    14 years 1 months ago
    Incremental and Decremental Learning for Linear Support Vector Machines
    Download  www.lsi.upc.edu
    Abstract. We present a method to find the exact maximal margin hyperplane for linear Support Vector Machines when a new (existing) component is added (removed) to (from) the inner...
    Enrique Romero, Ignacio Barrio, Lluís Belan...
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    ICIC
    2005
    Springer
    120views Applied Computing» more  ICIC 2005»
    Signature Verification Using Wavelet Transform and Support Vector Machine
    14 years 1 months ago
    Signature Verification Using Wavelet Transform and Support Vector Machine
    Download  www.intelengine.cn
    In this paper, we propose a novel on-line handwritten signature verification method. Firstly, the pen-position parameters of the on-line signature are decomposed into multiscale si...
    Hong-Wei Ji, Zhong-Hua Quan
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    PVM
    2005
    Springer
    142views Distributed And Parallel Com...» more  PVM 2005»
    Some Improvements to a Parallel Decomposition Technique for Training Support Vector Machines
    14 years 1 months ago
    Some Improvements to a Parallel Decomposition Technique for Training Support Vector Machines
    Download  eprints.pascal-network.org
    We consider a parallel decomposition technique for solving the large quadratic programs arising in training the learning methodology Support Vector Machine. At each iteration of th...
    Thomas Serafini, Luca Zanni, Gaetano Zanghirati
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    NAACL
    2007
    142views Computational Linguistics» more  NAACL 2007»
    Semi-Supervised Learning for Semantic Parsing using Support Vector Machines
    13 years 9 months ago
    Semi-Supervised Learning for Semantic Parsing using Support Vector Machines
    Download  www.cs.utexas.edu
    We present a method for utilizing unannotated sentences to improve a semantic parser which maps natural language (NL) sentences into their formal meaning representations (MRs). Gi...
    Rohit J. Kate, Raymond J. Mooney
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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 7 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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