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Filtering by: Creator Quinn, Thomas P. Remove constraint Creator: Quinn, Thomas P. Committee Member Tadepalli, Prasad Remove constraint Committee Member: Tadepalli, Prasad Committee Member Fern, Xiaoli Remove constraint Committee Member: Fern, Xiaoli Degree Name Master of Science (M.S.) Remove constraint Degree Name: Master of Science (M.S.)

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  • Novelty Detection Under the Multi-Instance Multi-Label Framework

    Creator:
    Lou, Qi
    Abstract:
    Novelty detection plays an important role in machine learning and signal processing. This project studies novelty detection in a new setting where the data object is represented as a bag of instances and associated with multiple class labels, referred to as multi-instance multi-label (MIML) learning. Contrary to the common assumption...
    Resource Type:
    Capstone Project
    Full Text:
    rate p(△, I) = 4/4 = 1. The label II is for bags 1, 3, 4, hence p(△, II) = 2/4 = 1/2. All the other