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Filtering by: Creator Wong, Yueh-Mei Remove constraint Creator: Wong, Yueh-Mei Contributor Raich, Raviv Remove constraint Contributor: Raich, Raviv Subject Machine learning Remove constraint Subject: Machine learning

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  • Weak-supervision : Probabilistic Models and Inference

    Creator:
    Pham, Anh
    Abstract:
    In supervised learning, label information can be provided at different levels of granularity. For small datasets, it is possible to acquire a label for each data instance. However, in the big-data regime, this fine granularity approach is prohibitively costly. For example, in semi-supervised learning, only a limited number of samples...
    Resource Type:
    Dissertation
    Full Text:
    instances. ICML, Lille-2015. 3A. T. Pham, Raviv Raich, Xiaoli Z. Fern, W. K. Wong, X. Guan, Discriminative