Abstract
Inductive logic programming can be viewed as a style of statistical inference where the model that is inferred to explain the observed data happens to be a logic program. In general, logic programs have important differences to other models (such as linear models, tree-based models, etc) found in the statistical literature. This why we have ILP conferences!
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© 2004 Springer-Verlag Berlin Heidelberg
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Cussens, J. (2004). At the Interface of Inductive Logic Programming and Statistics. In: Camacho, R., King, R., Srinivasan, A. (eds) Inductive Logic Programming. ILP 2004. Lecture Notes in Computer Science(), vol 3194. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30109-7_2
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DOI: https://doi.org/10.1007/978-3-540-30109-7_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22941-4
Online ISBN: 978-3-540-30109-7
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