Inconsistency-induced learning: A step toward perpetual learners

  • Du Zhang, Meiliu Lu
  • Published 2011 in
    IEEE 10th International Conference on Cognitive…

Abstract

One of the long-term research questions in machine learning is how to build never-ending learners. The state-of-the-practice in the field of machine learning thus far is still dominated by the one-time learner paradigm: some learning algorithms are utilized on data sets to produce certain results, and then the learner is put away and the results are put to… (More)
DOI: 10.1109/COGINF.2011.6016122

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