Shakir Mohamed

  1. Bayesian and L$_\mathbf{1}$ Approaches to Sparse Unsupervised Learning.

    Authors: Katherine Heller, Zoubin Ghahramani, Shakir Mohamed
    Subjects: Learning
    Abstract

    The use of $L_1$ regularisation for sparse learning has generated immense
    research interest, with successful application in such diverse areas as signal
    acquisition, image coding, genomics and collaborative filtering.

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