Search Constraints

Start Over
Filtering by: Committee Member Fern, Xiaoli Remove constraint Committee Member: Fern, Xiaoli Contributor Raich, Raviv Remove constraint Contributor: Raich, Raviv

Search Results

  • Multiple Instance Multiple Label Learning with Limited Supervision

    Creator:
    Nguyen, Tam
    Abstract:
    In weak supervision learning, label information can be provided at different levels of granularity. For example, in multi-instance multi-label learning, samples are organized into bags and labels for each class are provided at the bag level. For small datasets, this approach offers means of reducing the labeling efforts. However, in...
    Resource Type:
    Dissertation
    Full Text:
    support I would not be where I am today. I would like to thank Dr. Xiao-li Fern for providing useful

  • 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:
    . Xiaoli Fern for helping me in almost every paper. Even though I am not her student, but Dr. Fern was