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    » The Kernel Least-Mean-Square Algorithm
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    ICMLA
    2009
    208views Machine Learning» more  ICMLA 2009»
    ECON: A Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approx
    14 years 7 months ago
    ECON: A Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approx
    Download  www.grappa.univ-lille3.fr
    This paper introduces a new algorithm, namely the EquiCorrelation Network (ECON), to perform supervised classification, and regression. ECON is a kernelized LARS-like algorithm, b...
    Manuel Loth, Philippe Preux, Samuel Delepoulle, Ch...
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    KDD
    2006
    ACM
    181views Data Mining» more  KDD 2006»
    Cryptographically private support vector machines
    15 years 10 months ago
    Cryptographically private support vector machines
    Download  eprint.iacr.org
    We study the problem of private classification using kernel methods. More specifically, we propose private protocols implementing the Kernel Adatron and Kernel Perceptron learning ...
    Helger Lipmaa, Sven Laur, Taneli Mielikäinen
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    SODA
    2010
    ACM
    149views Algorithms» more  SODA 2010»
    Sharp kernel clustering algorithms and their associated Grothendieck inequalities
    15 years 7 months ago
    Sharp kernel clustering algorithms and their associated Grothendieck inequalities
    Download  www.cims.nyu.edu
    abstract Subhash Khot Assaf Naor In the kernel clustering problem we are given a (large) n ? n symmetric positive semidefinite matrix A = (aij) with n i=1 n j=1 aij = 0 and a (sma...
    Subhash Khot, Assaf Naor
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    WAW
    2009
    Springer
    97views Algorithms» more  WAW 2009»
    A Local Graph Partitioning Algorithm Using Heat Kernel Pagerank
    15 years 4 months ago
    A Local Graph Partitioning Algorithm Using Heat Kernel Pagerank
    Download  www.math.ucsd.edu
    Fan Chung Graham
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    ISNN
    2007
    Springer
    117views Neural Networks» more  ISNN 2007»
    Extensions of Manifold Learning Algorithms in Kernel Feature Space
    15 years 3 months ago
    Extensions of Manifold Learning Algorithms in Kernel Feature Space
    Download  homepage.fudan.edu.cn
    Manifold learning algorithms have been proven to be capable of discovering some nonlinear structures. However, it is hard for them to extend to test set directly. In this paper, a ...
    Yaoliang Yu, Peng Guan, Liming Zhang
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