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    ALT
    2007
    Springer
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    Learning Kernel Perceptrons on Noisy Data Using Random Projections
    14 years 8 months ago
    Learning Kernel Perceptrons on Noisy Data Using Random Projections
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    In this paper, we address the issue of learning nonlinearly separable concepts with a kernel classifier in the situation where the data at hand are altered by a uniform classific...
    Guillaume Stempfel, Liva Ralaivola
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