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  1. 1
    Very sparse kernel models: Predicting with few examples and few features

    Very sparse kernel models: Predicting with few examples and few features by Strohmann, Thomas

    Published 2006
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    Thesis Electronic eBook
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  2. 2
    Regression on datasets containing missing elements

    Regression on datasets containing missing elements by Cotter, Andrew

    Published 2005
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    Thesis Electronic eBook
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  3. 3
    Clustering through ranking on manifolds

    Clustering through ranking on manifolds by Breitenbach, Markus

    Published 2007
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    Thesis Electronic eBook
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  4. 4
    An experimental analysis of classifier ensembles for learning drifting concepts over time in autonomous outdoor robot navigation

    An experimental analysis of classifier ensembles for learning drifting concepts over time in autonomous outdoor robot navigation by Procopio, Michael J.

    Published 2007
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    Thesis Electronic eBook
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  5. 5
    Empirical investigation of models produced by kernel LARS-type and SVM-type algorithms

    Empirical investigation of models produced by kernel LARS-type and SVM-type algorithms by Melnyk, Igor V.

    Published 2009
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    Thesis Electronic eBook
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  6. 6
    Path planning in image space for the autonomous navigation of unmanned vehicles in unstructured outdoor environments

    Path planning in image space for the autonomous navigation of unmanned vehicles in unstructured outdoor environments by Otte, Michael Wilson

    Published 2007
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    Thesis Electronic eBook
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