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Filtering by: Committee Member Parham-Mocello, Jennifer Remove constraint Committee Member: Parham-Mocello, Jennifer Degree Field Electrical and Computer Science Remove constraint Degree Field: Electrical and Computer Science

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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:
    . Sinisa Todorovic, Dr. Jinsub Kim, and Dr. Jennifer Parham-Mocello providing favorable comments in my PhD