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    SDM
    2012
    SIAM
    216views Data Mining» more  SDM 2012»
    Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
    11 years 8 months ago
    Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
    Download  www.hpl.hp.com
    :  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
    George Forman
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    KDD
    2005
    ACM
    118views Data Mining» more  KDD 2005»
    On the use of linear programming for unsupervised text classification
    14 years 6 months ago
    On the use of linear programming for unsupervised text classification
    Download  www.cs.cornell.edu
    We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
    Mark Sandler
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    ICML
    2005
    IEEE
    165views Machine Learning» more  ICML 2005»
    Supervised dimensionality reduction using mixture models
    14 years 6 months ago
    Supervised dimensionality reduction using mixture models
    Download  talk.ucsd.edu
    Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
    Sajama, Alon Orlitsky
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    ICML
    2007
    IEEE
    137views Machine Learning» more  ICML 2007»
    Regression on manifolds using kernel dimension reduction
    14 years 6 months ago
    Regression on manifolds using kernel dimension reduction
    Download  www.machinelearning.org
    We study the problem of discovering a manifold that best preserves information relevant to a nonlinear regression. Solving this problem involves extending and uniting two threads ...
    Jens Nilsson, Fei Sha, Michael I. Jordan
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    KDD
    2009
    ACM
    249views Data Mining» more  KDD 2009»
    Drosophila gene expression pattern annotation using sparse features and term-term interactions
    14 years 6 months ago
    Drosophila gene expression pattern annotation using sparse features and term-term interactions
    Download  www.public.asu.edu
    The Drosophila gene expression pattern images document the spatial and temporal dynamics of gene expression and they are valuable tools for explicating the gene functions, interac...
    Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, ...
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