Learning When Concepts Abound

    Journal of Machine Learning Research, pp. 2571-2613, 2009.

    Cited by: 14|Bibtex|Views3|Links
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    Keywords:
    classification timeconcepts aboundsparse class indexapproach yieldefficient trainingMore(9+)

    Abstract:

    Many learning tasks, such as large-scale text categorization and word prediction, can benefit from efficient training and classification when the number of classes, in addition to instances and features, is large, that is, in the thousands and beyond. We investigate the learning of sparse class indices to address this challenge. An index ...More

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