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    ECTEL
    2007
    Springer
    129views Machine Learning» more  ECTEL 2007»
    Adaptive Learning Spaces. A Project Description
    14 years 2 months ago
    Adaptive Learning Spaces. A Project Description
    Download  sunsite.informatik.rwth-aachen.de
    Stephan Weibelzahl
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    VAMOS
    2009
    Springer
    94views Software Engineering» more  VAMOS 2009»
    Functional Variant Modeling for Adaptable Functional Networks
    14 years 3 months ago
    Functional Variant Modeling for Adaptable Functional Networks
    Download  www.se-rwth.de
    The application of functional networks in the automotive industry is still very slowly adopted into their development processes. Reasons for this are manifold. A functional networ...
    Cem Mengi, Ibrahim Armaç
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    ICALT
    2006
    IEEE
    142views Machine Learning» more  ICALT 2006»
    An Approach for Detecting Learning Styles in Learning Management Systems
    14 years 2 months ago
    An Approach for Detecting Learning Styles in Learning Management Systems
    Download  wit.tuwien.ac.at
    Detecting the needs of learners is a challenging but essential task to be able to provide adaptivity. In this paper we present a tool that enables learning management systems (LMS...
    Sabine Graf, Kinshuk
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    ICML
    1996
    IEEE
    126views Machine Learning» more  ICML 1996»
    On-Line Adaptation of a Signal Predistorter through Dual Reinforcement Learning
    14 years 9 months ago
    On-Line Adaptation of a Signal Predistorter through Dual Reinforcement Learning
    Download  www.cs.utexas.edu
    Patrick Goetz, Shailesh Kumar, Risto Miikkulainen
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    ESANN
    2008
    122views Neural Networks» more  ESANN 2008»
    GeoKernels: modeling of spatial data on geomanifolds
    13 years 10 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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