Inductive logic programming: Difference between revisions

Revision as of 16:50, 1 August 2006

Revision as of 22:04, 9 August 2006

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.

NOOR UL HAQUE

Schema: ''positive examples'' + ''negative examples'' + ''background knowledge'' = ''rules''.