Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Recommended Reading
Blockeel H, De Raedt L (1998) Top-down induction of first order logical decision trees. Artif Intell 101(1–2):285–297
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
De Raedt L (2008) Logical and relational learning. Springer, Berlin
Džeroski S, Lavraè N (ed) (2001) Relational data mining. Springer, Berlin
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
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
Lloyd JW (2003) Logic for learning. Springer, Berlin
Mitchell T (1997) Machine learning. McGraw Hill, New York
Richardson M, Domingos P (2006) Markov logic networks. Mach Learn 62(1–2):107–136
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights 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
DOI: https://doi.org/10.1007/978-1-4899-7687-1_372
Published:
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4899-7685-7
Online ISBN: 978-1-4899-7687-1
eBook Packages: Computer ScienceReference Module Computer Science and Engineering