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Line 1: '''Inductive logic programming''' ('''ILP''') is a [[machine learning]] approach, which uses techniques of [[logic programming]]. From a database of facts and expected results, which are divided into positive and negative examples, an ILP system tries to derive a logic program that proves all the positive and none of the negative examples. Schema: ''positive examples'' + ''negative examples'' + ''background knowledge'' = ''rules''.

Inductive logic programming: Difference between revisions