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    ICDM
    2009
    IEEE
    174views Data Mining» more  ICDM 2009»
    Non-sparse Multiple Kernel Learning for Fisher Discriminant Analysis
    14 years 3 months ago
    Non-sparse Multiple Kernel Learning for Fisher Discriminant Analysis
    Download  www.ee.surrey.ac.uk
    —We consider the problem of learning a linear combination of pre-specified kernel matrices in the Fisher discriminant analysis setting. Existing methods for such a task impose a...
    Fei Yan, Josef Kittler, Krystian Mikolajczyk, Muha...
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    AUSAI
    2005
    Springer
    237views Artificial Intelligence» more  AUSAI 2005»
    K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining
    14 years 2 months ago
    K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining
    Download  www.csse.monash.edu
    Most data-mining techniques seek a single model that optimizes an objective function with respect to the data. In many real-world applications several models will equally optimize...
    Geoffrey I. Webb
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    ISMB
    2000
    189views Computational Biology» more  ISMB 2000»
    Mining for Putative Regulatory Elements in the Yeast Genome Using Gene Expression Data
    13 years 10 months ago
    Mining for Putative Regulatory Elements in the Yeast Genome Using Gene Expression Data
    Download  cbit.snu.ac.kr
    We have developed a set of methods and tools for automatic discovery of putative regulatory signals in genome sequences. The analysis pipeline consists of gene expression data clu...
    Jaak Vilo, Alvis Brazma, Inge Jonassen, Alan J. Ro...
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    SIGKDD
    2010
    128views more  SIGKDD 2010»
    On cross-validation and stacking: building seemingly predictive models on random data
    13 years 3 months ago
    On cross-validation and stacking: building seemingly predictive models on random data
    Download  www.sigkdd.org
    A number of times when using cross-validation (CV) while trying to do classification/probability estimation we have observed surprisingly low AUC's on real data with very few...
    Claudia Perlich, Grzegorz Swirszcz
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    ICSM
    2008
    IEEE
    195views Software Engineering» more  ICSM 2008»
    Automated severity assessment of software defect reports
    14 years 3 months ago
    Automated severity assessment of software defect reports
    Download  menzies.us
    In mission critical systems, such as those developed by NASA, it is very important that the test engineers properly recognize the severity of each issue they identify during testi...
    Tim Menzies, Andrian Marcus
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