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    ICML
    2006
    IEEE
    161views Machine Learning» more  ICML 2006»
    Bayesian regression with input noise for high dimensional data
    14 years 5 months ago
    Bayesian regression with input noise for high dimensional data
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    This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
    Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
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