The papers present original results in the first-order logic representation framework, explore novel logic induction frameworks, and address also new areas such as statistical relational learning, graph mining, or the semantic Web. Inductive Logic Programming 2025 pdf epub mobi 电子书 Inductive Logic ...
order logic (i.e., logic programs) from data in first-order logic. This paper discusses our on-going work on applying ILP to pattern learning for link discovery as a part of the EELD project. 1.2 Inductive Logic Programming (ILP) ...
4.2.2 Inductive logic programming In inductive logic programming (ILP) the task of the learning algorithm is to induce, given the background knowledge B, a set of positive learning examples E+ and a set of negative examples E−, as simple a target relation (hypothesis) H as possible, cov...
Logic programmingA new research area, Inductive Logic Programming, is presently emerging. While inheriting various positive characteristics of the parent subjects of Logic Programming and Machine Learning, it is hoped that the new area will overcome many of the limitations of its forebears. The ...
Learning in various logical representations and formalisms, such as logic programming & answer set programming, first-order & higher-order logic, description logic & ontologies. Statistical relational learning, including structure/parameter learning for probabilistic logic languages, relational probabilistic ...
一阶逻辑(first order logic,FOL)也叫一阶谓词演算,允许量化陈述的公式,是使用于数学、哲学、语言学及计算机科学中的一种形式系统。一阶逻辑是区别于高阶逻辑的数理逻辑,它不允许量化性质。性质是一个物体的特性;所以一个红色物体被表述为有红色的特性。 我觉得没必要太在意一阶的定义,因为这个章节用到的所有逻辑...
tiveLogicProgramming,andRelationalLearning.Ithadbeendecidedthata 60%votewouldbeneededtochangethename;theresultofthevotewas57%in favorofthenameRelationalLearning.Consequently,thenameInductiveLogic Programmingwaskept. Inordertofacilitatesubmissions,theProgramCommitteedecidedtoextend ...
【代数语言学巡礼】归纳逻辑编程(inductive logic programming)III 归纳逻辑是事例证据支持的逻辑。在演绎逻辑中,一个有效的演绎论证的前提在逻辑上必然包含结论,逻辑蕴涵意味着使前提为真的每一个逻辑上可能的状态也必须使结论成为真理。因此,一个有效的演绎论点的前提为结论提供了完全的支持。然而归纳逻辑将这种观点扩展...
“Brave In-duction: a Logical Framework for Learning from Incomplete Information”, Chiaki Sakamaand Katsumi Inoue show that none of these frameworks is directly suited to elegantly dealwith a certain type of incompleteness in training data. Inspired by brave inference knownin nonmonotonic logics, ...
ILP 200919th International Conference on Inductive Logic Programming Jul 2, 2009 - Jul 4, 2009Leuven, BelgiumApr 3, 2009 Present CFP : 2018 Submissions must describe relevant and novel results on the following typical, but not exclusive, topics: ...