Publication details

Induktivní logické programování

Title in English Induktive logic programming
Authors

POPELÍNSKÝ Lubomír

Year of publication 2003
Type Article in Proceedings
Conference Sborník konference DATAKON 2003
MU Faculty or unit

Faculty of Informatics

Citation
Field Computer hardware and software
Keywords machine learning; inductive logic programming; applications
Description Inductive logic programming(ILP) is a branch of machine learning which aims at development of theory, methods and applications of learning in first-order logic. Given positive and negative examples, and domain knowledge in the form of normal logic program, ILP system looks for a logic formula that covers maximum of positive examples and minimum of negative ones. ILP is more powerful than other learning methods. We introduce the basics of theory of ILP, current ILP systems as well as successful applications.

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