Skip to main content

Hypothesis Language

  • Reference work entry
  • First Online:
Encyclopedia of Machine Learning and Data Mining
  • 314 Accesses

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 699.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 949.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Recommended Reading

  • Blockeel H, De Raedt L (1998) Top-down induction of first order logical decision trees. Artif Intell 101(1–2):285–297

    Article  MathSciNet  MATH  Google Scholar 

  • De Raedt L (1998) Attribute-value learning versus inductive logic programming: the missing links (extended abstract). In: Page D (ed) Proceedings of the eighth international conference on inductive logic programming. Lecture notes in artificial intelligence, vol 1446. Springer, Berlin, pp 1–8

    Chapter  Google Scholar 

  • De Raedt L (2008) Logical and relational learning. Springer, Berlin

    Book  MATH  Google Scholar 

  • Džeroski S, Lavraè N (ed) (2001) Relational data mining. Springer, Berlin

    MATH  Google Scholar 

  • Getoor L, Friedman N, Koller D, Pfeffer A (2001) Learning probabilistic relational models. In: Dzeroski S, Lavrac N (eds) Relational data mining. Springer, Berlin, pp 307–334

    Chapter  Google Scholar 

  • Kersting K, De Raedt L (2001) Towards combining inductive logic programming and Bayesian networks. In: Rouveirol C, Sebag M (eds) Proceedings of the 11th international conference on inductive logic programming. Lecture notes in computer science, vol 2157. Springer, Berlin, pp 118–131

    Chapter  Google Scholar 

  • Lloyd JW (2003) Logic for learning. Springer, Berlin

    Book  MATH  Google Scholar 

  • Mitchell T (1997) Machine learning. McGraw Hill, New York

    MATH  Google Scholar 

  • Richardson M, Domingos P (2006) Markov logic networks. Mach Learn 62(1–2):107–136

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media New York

About this entry

Cite this entry

Blockeel, H. (2017). Hypothesis Language. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_372

Download citation

Publish with us

Policies and ethics