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    ESANN
    2006
    262views Neural Networks» more  ESANN 2006»
    Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
    13 years 9 months ago
    Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
    Download  www.dice.ucl.ac.be
    Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
    Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
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    EDM
    2008
    288views Data Mining» more  EDM 2008»
    Data Mining Algorithms to Classify Students
    13 years 9 months ago
    Data Mining Algorithms to Classify Students
    Download  www.educationaldatamining.org
    In this paper we compare different data mining methods and techniques for classifying students based on their Moodle usage data and the final marks obtained in their respective cou...
    Cristóbal Romero, Sebastián Ventura,...
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    KDD
    2007
    ACM
    191views Data Mining» more  KDD 2007»
    Privacy-Preserving Data Mining through Knowledge Model Sharing
    14 years 8 months ago
    Privacy-Preserving Data Mining through Knowledge Model Sharing
    Download  www.cs.utsa.edu
    Privacy-preserving data mining (PPDM) is an important topic to both industry and academia. In general there are two approaches to tackling PPDM, one is statistics-based and the oth...
    Patrick Sharkey, Hongwei Tian, Weining Zhang, Shou...
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    NIPS
    2008
    148views Information Technology» more  NIPS 2008»
    On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
    13 years 9 months ago
    On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
    Download  www.igi.tugraz.at
    Randomly connected recurrent neural circuits have proven to be very powerful models for online computations when a trained memoryless readout function is appended. Such Reservoir ...
    Benjamin Schrauwen, Lars Buesing, Robert A. Legens...
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    ESANN
    2008
    122views Neural Networks» more  ESANN 2008»
    GeoKernels: modeling of spatial data on geomanifolds
    13 years 9 months ago
    GeoKernels: modeling of spatial data on geomanifolds
    Download  www.dice.ucl.ac.be
    This paper presents a review of methodology for semi-supervised modeling with kernel methods, when the manifold assumption is guaranteed to be satisfied. It concerns environmental ...
    Alexei Pozdnoukhov, Mikhail F. Kanevski
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