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Showing 1 to 5 of 5 for “"Automatic Relevance Determination"”.

  1. Bayesian sparsity learning with variational automatic relevance determination

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms

    uiuc Repository record for Bayesian sparsity learning with variational automatic relevance determination (opens in a new tab)

  2. Extending expectation propagation for graphical models

    … methods. Third, it proposes predictive automatic relevance determination (ARD) to enhance classification accuracy in the presence of irrelevant features. ARD is a Bayesian technique for feature selection.

    mit Repository record for Extending expectation propagation for graphical models (opens in a new tab)

  3. Statistical shape analysis of neuroanatomical structures based on spherical wavelet transformation

    … principles. In this work, we develop methods for automatically extracting localized and multi-scale shape features and conducting statistical shape analysis of neuroanatomical structures obtained from MR images. We first develop a procedure to extract multi-scale shape features of brain structures …

    mit Repository record for Statistical shape analysis of neuroanatomical structures based on spherical wavelet transformation (opens in a new tab)

  4. Seismic Data Conditioning and Inversion with Bayesian Methods and Dynamic Time-Warping

    … prior distributions (Normal-Jeffreys and automatic relevance determination). The Normal-Jeffreys prior computes a sparse model that estimates observational noise variance which regularizes the solution. Moreover, Amplitude variation with offset (AVO) processing workflows are carefully …

    houston Repository record for Seismic Data Conditioning and Inversion with Bayesian Methods and Dynamic Time-Warping (opens in a new tab)