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• Inductive_logic_programming abstract "Inductive logic programming (ILP) is a subfield of machine learning which uses logic programming as a uniform representation for examples, background knowledge and hypotheses. Given an encoding of the known background knowledge and a set of examples represented as a logical database of facts, an ILP system will derive a hypothesised logic program which entails all the positive and none of the negative examples. Schema: positive examples + negative examples + background knowledge ⇒ hypothesis.Inductive logic programming is particularly useful in bioinformatics and natural language processing. Ehud Shapiro laid the theoretical foundation for inductive logic programming and built its first implementation (Model Inference System) in 1981: a Prolog program that inductively inferred logic programs from positive and negative examples. The term Inductive Logic Programming was first introduced in a paper by Stephen Muggleton in 1991. The term \"inductive\" here refers to philosophical (i.e. suggesting a theory to explain observed facts) rather than mathematical (i.e. proving a property for all members of a well-ordered set) induction.".
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• Inductive_logic_programming wikiPageWikiLink Anti-unification_(computer_science).
• Inductive_logic_programming wikiPageWikiLink Bioinformatics.
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• Inductive_logic_programming wikiPageWikiLink Conjunctive_normal_form.
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• Inductive_logic_programming wikiPageWikiLinkText "Inductive Logic Programming".
• Inductive_logic_programming wikiPageWikiLinkText "Inductive logic programming".
• Inductive_logic_programming wikiPageWikiLinkText "Inductive logic".
• Inductive_logic_programming wikiPageWikiLinkText "hypothesis-formation".
• Inductive_logic_programming wikiPageWikiLinkText "inductive logic programming".
• Inductive_logic_programming wikiPageWikiLinkText "relative least general generalization (rlgg)".
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• Inductive_logic_programming subject Category:Inductive_logic_programming.
• Inductive_logic_programming hypernym Subfield.
• Inductive_logic_programming type Disease.
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• Inductive_logic_programming comment "Inductive logic programming (ILP) is a subfield of machine learning which uses logic programming as a uniform representation for examples, background knowledge and hypotheses. Given an encoding of the known background knowledge and a set of examples represented as a logical database of facts, an ILP system will derive a hypothesised logic program which entails all the positive and none of the negative examples.".
• Inductive_logic_programming label "Inductive logic programming".
• Inductive_logic_programming sameAs Q1464197.
• Inductive_logic_programming sameAs Induktivní_logické_programování.
• Inductive_logic_programming sameAs Induktive_logische_Programmierung.
• Inductive_logic_programming sameAs Programmation_logique_inductive.
• Inductive_logic_programming sameAs Programmazione_logica_induttiva.
• Inductive_logic_programming sameAs m.0f49v.
• Inductive_logic_programming sameAs Индуктивное_логическое_программирование.
• Inductive_logic_programming sameAs Индуктивно_логичко_програмирање.
• Inductive_logic_programming sameAs การโปรแกรมตรรกะเชิงอุปนัย.
• Inductive_logic_programming sameAs Q1464197.
• Inductive_logic_programming wasDerivedFrom Inductive_logic_programming?oldid=701030554.
• Inductive_logic_programming depiction Family_relations_example_for_inductive_logic_programming_article.gif.
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