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    » Tangent Distance Kernels for Support Vector Machines
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    IJCNN
    2006
    IEEE
    146views Neural Networks» more  IJCNN 2006»
    Learning the Kernel in Mahalanobis One-Class Support Vector Machines
    14 years 1 months ago
    Learning the Kernel in Mahalanobis One-Class Support Vector Machines
    Download  www.cse.ust.hk
    — In this paper, we show that one-class SVMs can also utilize data covariance in a robust manner to improve performance. Furthermore, by constraining the desired kernel function ...
    Ivor W. Tsang, James T. Kwok, Shutao Li
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    IJDMB
    2006
    96views more  IJDMB 2006»
    Kernel design for RNA classification using Support Vector Machines
    13 years 7 months ago
    Kernel design for RNA classification using Support Vector Machines
    Download  web.njit.edu
    Jason T. L. Wang, Xiaoming Wu
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    MCS
    2002
    Springer
    146views Pattern Recognition» more  MCS 2002»
    Support Vector Machines, Kernel Logistic Regression and Boosting
    13 years 7 months ago
    Support Vector Machines, Kernel Logistic Regression and Boosting
    Download  www-stat.stanford.edu
    Ji Zhu, Trevor Hastie
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    COLING
    2008
    128views Computational Linguistics» more  COLING 2008»
    Robust and Efficient Chinese Word Dependency Analysis with Linear Kernel Support Vector Machines
    13 years 9 months ago
    Robust and Efficient Chinese Word Dependency Analysis with Linear Kernel Support Vector Machines
    Download  www.aclweb.org
    Data-driven learning based on shift reduce parsing algorithms has emerged dependency parsing and shown excellent performance to many Treebanks. In this paper, we investigate the e...
    Yu-Chieh Wu, Jie-Chi Yang, Yue-Shi Lee
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    CAS
    2007
    69views more  CAS 2007»
    Design of Decision Tree via Kernelized Hierarchical Clustering for Multiclass Support Vector Machines
    13 years 7 months ago
    Design of Decision Tree via Kernelized Hierarchical Clustering for Multiclass Support Vector Machines
    Download  www.ece.eng.wayne.edu
    Zhao Lu, Feng Lin, Hao Ying
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