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    PAA
    2007
    91views Distributed And Parallel Com...» more  PAA 2007»
    Sparse least squares support vector training in the reduced empirical feature space
    13 years 8 months ago
    Sparse least squares support vector training in the reduced empirical feature space
    Download  www.lib.kobe-u.ac.jp
    Shigeo Abe
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    PR
    2007
    104views more  PR 2007»
    Optimizing resources in model selection for support vector machine
    13 years 8 months ago
    Optimizing resources in model selection for support vector machine
    Download  www.livia.etsmtl.ca
    Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
    Mathias M. Adankon, Mohamed Cheriet
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    IJON
    2010
    93views more  IJON 2010»
    Discriminant analysis via support vectors
    13 years 7 months ago
    Discriminant analysis via support vectors
    Download  www.cil.pku.edu.cn
    Suicheng Gu, Ying Tan, Xingui He
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    PAMI
    2010
    103views more  PAMI 2010»
    Tuning Support Vector Machines for Minimax and Neyman-Pearson Classification
    13 years 7 months ago
    Tuning Support Vector Machines for Minimax and Neyman-Pearson Classification
    Download  www.ece.rice.edu
    Mark A. Davenport, Richard G. Baraniuk, Clayton Sc...
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    PKDD
    2010
    Springer
    178views Data Mining» more  PKDD 2010»
    Large-Scale Support Vector Learning with Structural Kernels
    13 years 7 months ago
    Large-Scale Support Vector Learning with Structural Kernels
    Download  disi.unitn.it
    Abstract. In this paper, we present an extensive study of the cuttingplane algorithm (CPA) applied to structural kernels for advanced text classification on large datasets. In par...
    Aliaksei Severyn, Alessandro Moschitti
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