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    ALT
    2008
    Springer
    147views Machine Learning» more  ALT 2008»
    Nonparametric Independence Tests: Space Partitioning and Kernel Approaches
    14 years 2 months ago
    Nonparametric Independence Tests: Space Partitioning and Kernel Approaches
    Download  www.kyb.mpg.de
    Abstract. Three simple and explicit procedures for testing the independence of two multi-dimensional random variables are described. Two of the associated test statistics (L1, log-...
    Arthur Gretton, László Györfi
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    ICML
    2004
    IEEE
    120views Machine Learning» more  ICML 2004»
    Improving SVM accuracy by training on auxiliary data sources
    14 years 6 months ago
    Improving SVM accuracy by training on auxiliary data sources
    Download  web.engr.oregonstate.edu
    The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
    Pengcheng Wu, Thomas G. Dietterich
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    SDM
    2008
    SIAM
    177views Data Mining» more  SDM 2008»
    Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
    13 years 6 months ago
    Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
    Download  www.cs.berkeley.edu
    In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
    Yitao Duan, John F. Canny
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    ICML
    2007
    IEEE
    170views Machine Learning» more  ICML 2007»
    Self-taught learning: transfer learning from unlabeled data
    14 years 6 months ago
    Self-taught learning: transfer learning from unlabeled data
    Download  www.stanford.edu
    We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
    Rajat Raina, Alexis Battle, Honglak Lee, Benjamin ...
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    ICCV
    2009
    IEEE
    462views Computer Vision» more  ICCV 2009»
    Efficient subset selection based on the Renyi entropy
    14 years 10 months ago
    Efficient subset selection based on the Renyi entropy
    Download  www.umiacs.umd.edu
    Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed t...
    Vlad I. Morariu1, Balaji V. Srinivasan, Vikas C. R...
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