Inductive Logic Programming

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Foundations of Inductive Logic Programming

Author : Shan-Hwei Nienhuys-Cheng,Ronald de Wolf
Publisher : Springer Science & Business Media
Page : 440 pages
File Size : 49,7 Mb
Release : 1997-04-18
Category : Computers
ISBN : 3540629270

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Foundations of Inductive Logic Programming by Shan-Hwei Nienhuys-Cheng,Ronald de Wolf Pdf

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

Author : Dimitar Kazakov,Can Erten
Publisher : Springer Nature
Page : 154 pages
File Size : 53,8 Mb
Release : 2020-06-05
Category : Computers
ISBN : 9783030492106

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Inductive Logic Programming by Dimitar Kazakov,Can Erten Pdf

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

Author : Francesco Bergadano,Daniele Gunetti
Publisher : MIT Press
Page : 264 pages
File Size : 55,7 Mb
Release : 1996
Category : Computers
ISBN : 0262023938

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Inductive Logic Programming by Francesco Bergadano,Daniele Gunetti Pdf

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

Inductive Logic Programming

Author : Stephen Muggleton
Publisher : Unknown
Page : 412 pages
File Size : 55,8 Mb
Release : 2014-01-15
Category : Electronic
ISBN : 3662186942

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Inductive Logic Programming by Stephen Muggleton Pdf

Probabilistic Inductive Logic Programming

Author : Luc De Raedt,Paolo Frasconi,Kristian Kersting,Stephen H. Muggleton
Publisher : Springer
Page : 341 pages
File Size : 46,5 Mb
Release : 2008-02-26
Category : Computers
ISBN : 9783540786528

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Probabilistic Inductive Logic Programming by Luc De Raedt,Paolo Frasconi,Kristian Kersting,Stephen H. Muggleton Pdf

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

Author : Sašo Džeroski,Peter A. Flach
Publisher : Springer Science & Business Media
Page : 308 pages
File Size : 46,5 Mb
Release : 1999-06-09
Category : Computers
ISBN : 9783540661092

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Inductive Logic Programming by Sašo Džeroski,Peter A. Flach Pdf

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

Learning Language in Logic

Author : James Cussens,Saso Dzeroski
Publisher : Springer Science & Business Media
Page : 302 pages
File Size : 50,7 Mb
Release : 2000-09-27
Category : Computers
ISBN : 9783540411451

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Learning Language in Logic by James Cussens,Saso Dzeroski Pdf

The two-volume set LNCS 1842/1843 constitutes the refereed proceedings of the 6th European Conference on Computer Vision, ECCV 2000, held in Dublin, Ireland in June/July 2000. The 116 revised full papers presented were carefully selected from a total of 266 submissions. The two volumes offer topical sections on recognitions and modelling; stereoscopic vision; texture and shading; shape; structure from motion; image features; active, real-time, and robot vision; segmentation and grouping; vision systems engineering and evaluation; calibration; medical image understanding; and visual motion.

Encyclopedia of Machine Learning

Author : Claude Sammut,Geoffrey I. Webb
Publisher : Springer Science & Business Media
Page : 1061 pages
File Size : 49,6 Mb
Release : 2011-03-28
Category : Computers
ISBN : 9780387307688

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Encyclopedia of Machine Learning by Claude Sammut,Geoffrey I. Webb Pdf

This comprehensive encyclopedia, in A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of Machine Learning. Most of the entries in this preeminent work include useful literature references.

Inductive Logic Programming

Author : Stephen Muggleton
Publisher : Morgan Kaufmann
Page : 602 pages
File Size : 48,8 Mb
Release : 1992
Category : Computers
ISBN : 0125097158

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Inductive Logic Programming by Stephen Muggleton Pdf

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.

Inductive Logic Programming

Author : Nada Lavrač,Sašo Džeroski
Publisher : Ellis Horwood
Page : 328 pages
File Size : 48,7 Mb
Release : 1994
Category : Logic programming
ISBN : UOM:39015029078691

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Inductive Logic Programming by Nada Lavrač,Sašo Džeroski Pdf

Inductive Logic Programming

Author : James Cussens,Alan Frisch
Publisher : Springer Science & Business Media
Page : 288 pages
File Size : 42,7 Mb
Release : 2000-07-12
Category : Computers
ISBN : 9783540677956

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Inductive Logic Programming by James Cussens,Alan Frisch Pdf

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,

Advances in Inductive Logic Programming

Author : Luc de Raedt
Publisher : Unknown
Page : 340 pages
File Size : 50,9 Mb
Release : 1996
Category : Computers
ISBN : UOM:39015037793232

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Advances in Inductive Logic Programming by Luc de Raedt Pdf

Machine Learning Proceedings 1994

Author : William W. Cohen
Publisher : Morgan Kaufmann
Page : 381 pages
File Size : 48,9 Mb
Release : 2017-01-31
Category : Computers
ISBN : 9781483298184

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Machine Learning Proceedings 1994 by William W. Cohen Pdf

Machine Learning Proceedings 1994

Logical and Relational Learning

Author : Luc De Raedt
Publisher : Springer Science & Business Media
Page : 395 pages
File Size : 55,7 Mb
Release : 2008-09-27
Category : Computers
ISBN : 9783540688563

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Logical and Relational Learning by Luc De Raedt Pdf

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.

Transactions on Petri Nets and Other Models of Concurrency II

Author : Wil M. P. van der Aalst
Publisher : Springer
Page : 297 pages
File Size : 53,7 Mb
Release : 2009-03-26
Category : Computers
ISBN : 9783642008993

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Transactions on Petri Nets and Other Models of Concurrency II by Wil M. P. van der Aalst Pdf

Transactions on Petri Nets and Other Models of Concurrency (ToPNoC) II These Transactions publish archival papers in the broad area of Petri nets and other models of concurrency, ranging from theoretical work to tool support and industrial applications. ToPNoC issues are published as LNCS volumes, and hence are widely distributed and indexed. This Journal has its own Editorial Board which selects papers based on a rigorous two-stage refereeing process. ToPNoC contains: - Revised versions of a selection of the best papers from workshops and tutorials at the annual Petri net conferences - Special sections/issues within particular subareas (similar to those published in the Advances in Petri Nets series) - Other papers invited for publication in ToPNoC - Papers submitted directly to ToPNoC by their authors The second volume of ToPNoC focuses on Concurrency in Process-Aware Information Systems. Although the topic of business process management using information technology has been addressed by consultants and software developers in depth, more fundamental approaches towards such Process-Aware Information Systems (PAISs) have been rather uncommon. It wasn't until the 1990s that researchers started to work on the foundations of PAISs. Clearly, concurrency theory is an essential ingredient in these foundations as business processes are highly concurrent involving all types of routing logic and resource allocation mechanisms. The 16 papers in this special issue of ToPNoC cover topics ranging from the formal (mostly Petri-net based) foundations of PAISs to more applied topics such as flexibility and process mining. Thus, this volume gives a good overview of the state of the art in PAIS research.