Inductive Logic Programming

Inductive Logic Programming

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  • Author: Francesco Bergadano
  • Publisher: MIT Press
  • ISBN: 9780262023931
  • Category : Computers
  • Languages : en
  • Pages : 264

Although Inductive Logic Programming (ILP) is generally thought of as a research area at the intersection of machine learning and computational logic, Bergadano and Gunetti propose that most of the research in ILP has in fact come from machine learning, particularly in the evolution of inductive reasoning from pattern recognition, through initial approaches to symbolic machine learning, to recent techniques for learning relational concepts. In this book they provide an extended, up-to-date survey of ILP, emphasizing methods and systems suitable for software engineering applications, including inductive program development, testing, and maintenance. Inductive Logic Programming includes a definition of the basic ILP problem and its variations (incremental, with queries, for multiple predicates and predicate invention capabilities), a description of bottom-up operators and techniques (such as least general generalization, inverse resolution, and inverse implication), an analysis of top-down methods (mainly MIS and FOIL-like systems), and a survey of methods and languages for specifying inductive bias. Logic Programming series


Foundations of Inductive Logic Programming

Foundations of Inductive Logic Programming

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  • Author: Shan-Hwei Nienhuys-Cheng
  • Publisher: Springer Science & Business Media
  • ISBN: 9783540629276
  • Category : Computers
  • Languages : en
  • Pages : 440

The state of the art of the bioengineering aspects of the morphology of microorganisms and their relationship to process performance are described in this volume. Materials and methods of the digital image analysis and mathematical modeling of hyphal elongation, branching and pellet formation as well as their application to various fungi and actinomycetes during the production of antibiotics and enzymes are presented.


Inductive Logic Programming

Inductive Logic Programming

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  • Author: Dimitar Kazakov
  • Publisher: Springer Nature
  • ISBN: 3030492109
  • Category : Computers
  • Languages : en
  • Pages : 154

This book constitutes the refereed conference proceedings of the 29th International Conference on Inductive Logic Programming, ILP 2019, held in Plovdiv, Bulgaria, in September 2019. The 11 papers presented were carefully reviewed and selected from numerous submissions. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data.


Inductive Logic Programming

Inductive Logic Programming

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  • Author: Stephen Muggleton
  • Publisher:
  • ISBN: 9783662186947
  • Category :
  • Languages : en
  • Pages : 412


Probabilistic Inductive Logic Programming

Probabilistic Inductive Logic Programming

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  • Author: Luc De Raedt
  • Publisher: Springer
  • ISBN: 354078652X
  • Category : Computers
  • Languages : en
  • Pages : 341

This book provides an introduction to probabilistic inductive logic programming. It places emphasis on the methods based on logic programming principles and covers formalisms and systems, implementations and applications, as well as theory.


Inductive Logic Programming

Inductive Logic Programming

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  • Author: Sašo Džeroski
  • Publisher: Springer Science & Business Media
  • ISBN: 3540661093
  • Category : Computers
  • Languages : en
  • Pages : 308

Wewishtothank AlfredHofmannandAnnaKramerofSpringer-Verlagfortheircooperationin publishing these proceedings. Finally, we gratefully acknowledge the nancial supportprovidedbythesponsorsofILP-99.


Inductive Logic Programming

Inductive Logic Programming

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  • Author: James Cussens
  • Publisher: Springer Science & Business Media
  • ISBN: 354067795X
  • Category : Computers
  • Languages : en
  • Pages : 288

Mich`eleSebag(EcolePolytechnique,France) AshwinSrinivasan(UniversityofOxford,UK) PrasadTadepalli(OregonStateUniversity,USA) StefanWrobel(UniversityofMagdeburg,Germany) AkihiroYamamoto(UniversityofHokkaido,Japan) Additional Referees ́ ErickAlphonse(Universit ́edeParis-Sud,France) LiviuBadea(NationalInstituteforResearchandDevelopmentinInformatics,


Inductive Logic Programming

Inductive Logic Programming

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  • Author: Nada Lavrač
  • Publisher: Ellis Horwood
  • ISBN:
  • Category : Logic programming
  • Languages : en
  • Pages : 328


Inductive Logic Programming

Inductive Logic Programming

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  • Author: Stephen Muggleton
  • Publisher: Morgan Kaufmann
  • ISBN: 9780125097154
  • Category : Computers
  • Languages : en
  • Pages : 602

Inductive logic programming is a new research area emerging at present. Whilst inheriting various positive characteristics of the parent subjects of logic programming an machine learning, it is hoped that the new area will overcome many of the limitations of its forbears. This book describes the theory, implementations and applications of Inductive Logic Programming.


Logical and Relational Learning

Logical and Relational Learning

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  • Author: Luc De Raedt
  • Publisher: Springer Science & Business Media
  • ISBN: 3540688560
  • Category : Computers
  • Languages : en
  • Pages : 395

This first textbook on multi-relational data mining and inductive logic programming provides a complete overview of the field. It is self-contained and easily accessible for graduate students and practitioners of data mining and machine learning.