Titlebook: Inductive Logic Programming; 6th International Wo Stephen Muggleton Conference proceedings 1997 Springer-Verlag Berlin Heidelberg 1997 indu

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978-3-540-63494-2Springer-Verlag Berlin Heidelberg 1997

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Relational knowledge discovery in databases,for adapting and linking ILP-systems to relational database systems. The proposed methods range from “pure ILP” to “based on techniques originating in ILP” We show that it is both easy and advantageous to adapt ILP-systems in this way.

小母馬

https://doi.org/10.1007/3-540-63494-0inductive learning; inductive logic programming; learning; logic; machine learning; natural language proc

anthropologist

Torrid

Applying ILP to diterpene structure elucidation from 13C NMR spectra,ng was successfully applied to learn classification rules from spectra with assigned atom numbers. As the assignment of atom numbers is a difficult process in itself (and possibly indistinguishable from the classification process), we apply ILP, i.e., relational learning, to the problem of classifyi

GRATE

Feature construction with inductive logic programming: A study of quantitative predictions of bioloWhen both are applicable, ILP programs are usually slower than their propositional counterparts. This paper examines the use of ILP programs, not for obtaining theories complete for the sample, but as a method of “discovering” new attributes. These could then be used by methods like linear regressio

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