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Filtering by: Creator Fridley, Daniel Seth Remove constraint Creator: Fridley, Daniel Seth Advisor Fern, Xiaoli Remove constraint Advisor: Fern, Xiaoli Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • Learning with Partial Supervision for Clustering and Classification

    Creator:
    Pei, Yuanli
    Abstract:
    In the field of machine learning, clustering and classification are two fundamental tasks. Traditionally, clustering is an unsupervised method, where no supervision about the data is available for learning; classification is a supervised task, where fully-labeled data are collected for training a classifier. In some scenarios, however, we may not...
    Resource Type:
    Dissertation