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    ICASSP
    2011
    IEEE
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    On selecting the hyperparameters of the DPM models for the density estimation of observation errors
    12 years 8 months ago
    On selecting the hyperparameters of the DPM models for the density estimation of observation errors
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    The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
    Asma Rabaoui, Nicolas Viandier, Juliette Marais, E...
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