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- Review of "Inductive Logic Programming: Techniques and Applications" by Nada Lavrač, Sašo Džeroski
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- Inductive logic programming
Review of "Inductive Logic Programming: Techniques and Applications" by Nada Lavrač, Sašo Džeroski
Publications: Inductive Logic Programming Inductive logic programming ILP studies the learning of Prolog logic programs and other relational knowledge from examples. Most machine learning algorithms are restricted to finite, propositional, feature-based representations of examples and concepts and cannot learn complex relational and recursive knowledge. ILP allows learning with much richer representations. Our work has focussed on applications of ILP to various problems in natural language and theory refinement for logic programs. Show abstracts.
Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. Predicate ranking algorithms and their application in an inductive logic programming system Abstract: Inductive logic programming ILP is a form of machine learning that induces rules from data using the language and syntax of logic programming. A rule construction algorithm forms rules that summarize data sets. These rules can be used in a large spectrum of data mining activities.
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Inductive logic programming ILP is a research area that has its roots in inductive machine learning and logic programming. Computational logic has significantly influenced machine learning through the field of inductive logic programming ILP which is concerned with the induction of logic programs from examples and background knowledge. Machine learning, and ILP in particular, has the potential to influence computational logic by providing an application area full of industrially significant problems, thus providing a challenge for other techniques in computational logic. In ILP, the recent shift of attention from program synthesis to knowledge discovery resulted in advanced techniques that are practically applicable for discovering knowledge in relational databases. This paper gives a brief introduction to ILP, presents state-of-the-art ILP techniques for relational knowledge discovery as well as some challegnes and directions for further developments in this area. Unable to display preview.
This book is an introduction to inductive logic programming (ILP), a research field ; Hardcover/Paperback pages; eBook PDF files; Language: English with an in-depth understanding of empirical ILP techniques and applications.
Inductive logic programming
Download to read the full article text. Aha, D. Learning singly recursive relations tronl small datasets. Navy Center for Artificial Intelligence Research. Google Scholar.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs and how to get involved. Subjects: Machine Learning cs. LG ; Artificial Intelligence cs.
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This book is an introduction to inductive logic programming ILP , a research field at the intersection of machine learning and logic programming, which aims at a formal framework as well as practical algorithms for inductively learning relational descriptions in the form of logic programs. The book extensively covers empirical inductive logic programming, one of the two major subfields of ILP, which has already shown its application potential in the following areas: knowledge acquisition, inductive program synthesis, inductive data engineering, and knowledge discovery in databases. The book provides the reader with an in-depth understanding of empirical ILP techniques and applications. It is divided into four parts. Part I is an introduction to the field of ILP.
Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions.
About Prolog and Expert Systems, I recently discovered rule-based programming.