Learning Cumulatively to Become More Knowledgeable

    KDD, 2016.

    Cited by: 37|Bibtex|Views30|Links
    EI

    Abstract:

    In classic supervised learning, a learning algorithm takes a fixed training data of several classes to build a classifier. In this paper, we propose to study a new problem, i.e., building a learning system that learns cumulatively. As time goes by, the system sees and learns more and more classes of data and becomes more and more knowledg...More

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