Skip to main content

Query-Based Learning

  • Reference work entry
Book cover Encyclopedia of Machine Learning

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Recommended Reading

  • Aizenstein, H., Hellerstein, L., & Pitt, L. (1995). Read-thrice DNF is hard to learn with membership and equivalence queries. In Thirty-third annual symposium on foundations of computer science, Pittsburgh, 24–27 October 1992 (pp. 523–532). Washington, DC: IEEE Computer Society.

    Google Scholar 

  • Aizenstein, H., & Pitt, L. (1995). On the learnability of disjunctive normal form formulas. Machine Learning, 19(3), 183–208.

    MATH  Google Scholar 

  • Angluin, D. (1987). Learning regular sets from queries and counterexamples. Information and Computation, 75(2), 87–106.

    Article  MATH  MathSciNet  Google Scholar 

  • Angluin, D. (1988). Queries and concept learning. Machine Learning, 2(4), 319–342.

    Google Scholar 

  • Angluin, D. (1990). Negative results for equivalence queries. Machine Learning, 5, 121–150.

    Google Scholar 

  • Angluin, D. (2004). Queries revisited. Theoretical Computer Science, 313, 175–194.

    Article  MATH  MathSciNet  Google Scholar 

  • Angluin, D., Frazier, M., & Pitt, L. (1992). Learning conjunctions of Horn clauses. Machine Learning, 9, 147–164.

    MATH  Google Scholar 

  • Angluin, D., Hellerstein, L., & Karpinski, M. (1993). Learning read-once formulas with queries. Journal of the Association for Computing Machinery, 40, 185–210.

    MATH  MathSciNet  Google Scholar 

  • Arias, M. (2004). Exact learning of first-order Horn expressions from queries. Ph.D. Thesis, Tufts University.

    Google Scholar 

  • Arias, M., & Balcázar, J. L. (2009). Canonical Horn representations and query learning. Algorithmic learning theory: Twentieth international conference ALT 2009, LNAI (Vol. 5809, pp. 156–170). Berlin: Springer.

    Google Scholar 

  • Arias, M., & Khardon, R. (2002). Learning closed Horn expressions. Information and Computation, 178(1), 214–240.

    MATH  MathSciNet  Google Scholar 

  • Birkendorf, A., Böker, A., & Simon, H. U. (2000). Learning deterministic finite automata from smallest counterexamples. SIAM Journal on Discrete Mathematics, 13(4), 465–491.

    Article  MATH  MathSciNet  Google Scholar 

  • Hellerstein, L., Pillaipakkamnatt, K., Raghavan, V. V., & Wilkins, D. (1996). How many queries are needed to learn? Journal of the Association for Computing Machinery, 43, 840–862.

    MATH  MathSciNet  Google Scholar 

  • Gasarch, W., & Lee, A. C. Y. (2008). Inferring answers to queries. Journal of Computer and System Sciences, 74(4), 490–512.

    Article  MATH  MathSciNet  Google Scholar 

  • Gasarch, W., & Smith, C. H. (1992). Learning via queries. Journal of the Association for Computing Machinery, 39(3), 649–674.

    MATH  MathSciNet  Google Scholar 

  • Ibarra, O. H., & Jiang, T. (1988). Learning regular languages from counterexamples. In Proceedings of the first annual workshop on computational learning theory, MIT, Cambridge (pp. 371–385). San Francisco: Morgan Kaufmann.

    Google Scholar 

  • Jackson, J. (1997). An efficient membership-query algorithm for learning DNF with respect to the uniform distribution. Journal of Computer and System Sciences, 55(3), 414–440.

    Article  MATH  MathSciNet  Google Scholar 

  • Jain, S., Lange, S., & Zilles, S. (2007). A general comparison of language learning from examples and from queries. Theoretical Computer Science, 387(1), 51–66.

    MATH  MathSciNet  Google Scholar 

  • Lange, S., & Zilles, S. (2005). Relations between Gold-style learning and query learning. Information and Computation, 203, 211–237.

    Article  MATH  MathSciNet  Google Scholar 

  • Littlestone, N. (1988). Learning quickly when irrelevant attributes abound: A new linear threshold algorithm. Machine Learning, 2, 285–318.

    Google Scholar 

  • Maass, W., & Turán, G. (1992). Lower bound methods and separation results for on-line learning models. Machine Learning, 9, 107–145.

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media, LLC

About this entry

Cite this entry

Jain, S., Stephan, F. (2011). Query-Based Learning. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-30164-8_688

Download citation

Publish with us

Policies and ethics