Abstract
Although Inductive Logic Programming can have other usages such as program synthesis, it is normally used as a logic based supervised machine learning algorithm. The usual setting for its application is, given: 1) a set of background knowledge facts B, 2) a set of examples E, find: a set of hypotheses H, such that B,H∈ ∈E . H, the induced model, is a set of Horn rules thus being easily comprehensible by a human. © 2008 Springer Berlin Heidelberg.
Cite
CITATION STYLE
Santos, J. C. A. (2008). TopLog: ILP using a logic program declarative bias. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5366 LNCS, pp. 818–819). https://doi.org/10.1007/978-3-540-89982-2_88
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