Machine Teaching: An Inverse Problem to Machine Learning and an Approach Toward Optimal Education

Xiaojin Zhu

Published 2015 in AAAI Conference on Artificial Intelligence

ABSTRACT

I draw the reader's attention to machine teaching, the problem of finding an optimal training set given a machine learning algorithm and a target model. In addition to generating fascinating mathematical questions for computer scientists to ponder, machine teaching holds the promise of enhancing education and personnel training. The Socratic dialogue style aims to stimulate critical thinking.

PUBLICATION RECORD

  • Publication year

    2015

  • Venue

    AAAI Conference on Artificial Intelligence

  • Publication date

    2015-01-25

  • Fields of study

    Computer Science, Education

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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