Inductive Logic Programming, Filip ?elezn?; Nada Lavra?

Автор: Hendrik Blockeel; Jan Ramon; Jude Shavlik; Prasad
Название: Inductive Logic Programming
ISBN: 3540784683 ISBN-13(EAN): 9783540784685
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Описание: 17th International Conference ILP 2007 Corvallis OR USA June 19-21 2007 Revised Selected Papers.

Автор: Saso Dzeroski; Peter A. Flach
Название: Inductive Logic Programming
ISBN: 3540661093 ISBN-13(EAN): 9783540661092
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Описание: These are the refereed proceedings of the 9th International Conference on Inductive Logic Programming. They range from foundational and methodological issues to applications in natural language processing, knowledge discovery and data mining.

Автор: James Cussens; Alessandra Russo
Название: Inductive Logic Programming
ISBN: 3319633414 ISBN-13(EAN): 9783319633411
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 26th International Conference on Inductive Logic Programming, ILP 2016, held in London, UK, in September 2016. The 10 full papers presented were carefully reviewed and selected from 29 submissions.

Автор: Stephen Muggleton
Название: Inductive Logic Programming
ISBN: 3540634940 ISBN-13(EAN): 9783540634942
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Описание: Taken from the sixth International Workshop on Inductive Logic Programming, ILP-96, these papers cover: natural language learning; drug design; NMR and ECG analysis; glaucoma diagnosis; efficiency measures for implementations and database interaction; and program synthesis.

Автор: Stephen Muggleton; Ramon Otero; Alireza Tamaddoni-
Название: Inductive Logic Programming
ISBN: 3540738460 ISBN-13(EAN): 9783540738466
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Описание: Constitutes the thoroughly refereed post-proceedings of the 16th International Conference on Inductive Logic Programming, ILP 2006, held in Santiago de Compostela, Spain, in August 2006. This work addresses various topics in inductive logic programming, ranging from theoretical and methodological issues to advanced applications in various areas.

Автор: Celine Rouveirol; Michele Sebag
Название: Inductive Logic Programming
ISBN: 3540425381 ISBN-13(EAN): 9783540425380
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Описание: The papers in this volume address data mining issues for multi-relational databases, supervised learning, inductive inference, Bayesian reasoning, learning refinement operators, neural network learning, constraint satisfaction, genetic algorithms and statistical machine learning.

Автор: Nada Lavra?; Saso Dzeroski
Название: Inductive Logic Programming
ISBN: 3540635149 ISBN-13(EAN): 9783540635147
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Описание: The proceedings of the 7th International Workshop on Inductive Logic Programming, ILP-97. Among the topics addressed are various logic programming issues, natural language processing, speech processing, abductive learning, data mining, knowledge discovery and relational database systems.

Автор: Fabrizio Riguzzi; Filip Zelezny
Название: Inductive Logic Programming
ISBN: 3642388116 ISBN-13(EAN): 9783642388118
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Описание: This book constitutes the thoroughly refereed post-proceedings of the 22nd International Conference on Inductive Logic Programming, ILP 2012, held in Dubrovnik, Croatia, in September 2012.

Автор: Muggleton Stephen, Watanabe Hiroaki
Название: Latest Advances in Inductive Logic Programming
ISBN: 1783265086 ISBN-13(EAN): 9781783265084
Издательство: World Scientific Publishing
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Описание: This book represents a selection of papers presented at the Inductive Logic Programming (ILP) workshop held at Cumberland Lodge, Great Windsor Park.

Автор: Luc De Raedt; Paolo Frasconi; Kristian Kersting; S
Название: Probabilistic Inductive Logic Programming
ISBN: 3540786511 ISBN-13(EAN): 9783540786511
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Описание: One of the key open questions within arti?cial intelligence is how to combine probability and logic with learning. This question is getting an increased - tentioninseveraldisciplinessuchasknowledgerepresentation, reasoningabout uncertainty, data mining, and machine learning simulateously, resulting in the newlyemergingsub?eldknownasstatisticalrelationallearningandprobabil- ticinductivelogicprogramming.Amajordriving forceisthe explosivegrowth in the amount of heterogeneous data that is being collected in the business and scienti?c world. Example domains include bioinformatics, chemoinform- ics, transportation systems, communication networks, social network analysis, linkanalysis, robotics, amongothers.Thestructuresencounteredcanbeass- pleassequencesandtrees(suchasthosearisinginproteinsecondarystructure predictionandnaturallanguageparsing)orascomplexascitationgraphs, the WorldWideWeb, andrelationaldatabases. This book providesan introduction to this ?eld with an emphasison those methods based on logic programming principles. The book is also the main resultofthesuccessfulEuropeanISTFETprojectno.FP6-508861onAppli- tionofProbabilisticInductiveLogicProgramming(APRILII,2004-2007).This projectwascoordinatedbytheAlbertLudwigsUniversityofFreiburg(Germany, Luc De Raedt) and the partners were Imperial College London (UK, Stephen MuggletonandMichaelSternberg), theHelsinkiInstituteofInformationTe- nology(Finland, HeikkiMannila), theUniversit adegliStudidiFlorence(Italy, PaoloFrasconi), andtheInstitutNationaldeRechercheenInformatiqueet- tomatiqueRocquencourt(France, FrancoisFages).Itwasconcernedwiththeory, implementationsandapplicationsofprobabilisticinductivelogicprogramming. Thisstructureisalsore?ectedinthebook. The book starts with an introductory chapter to "Probabilistic Inductive LogicProgramming"byDeRaedtandKersting.Inasecondpart, itprovidesa detailedoverviewofthemostimportantprobabilisticlogiclearningformalisms and systems. We are very pleased and proud that the scientists behind the key probabilistic inductive logic programming systems (also those developed outside the APRIL project) have kindly contributed a chapter providing an overviewoftheircontributions.Thisincludes: relationalsequencelearningte- niques (Kersting et al.), using kernels with logical representations (Frasconi andPasserini), MarkovLogic(Domingosetal.), the PRISMsystem (Satoand Kameya), CLP(BN)(SantosCostaetal.), BayesianLogicPrograms(Kersting andDeRaedt), andtheIndependentChoiceLogic(Poole).Thethirdpartthen provides a detailed account of some show-caseapplications of probabilistic - ductive logic programming, more speci?cally: in protein fold discovery (Chen et al.), haplotyping (Landwehr and Mielik] ainen) and systems biology (Fages andSoliman). The ?nal parttouchesupon sometheoreticalinvestigationsand VI Preface includes chaptersonbehavioralcomparisonof probabilisticlogicprogramming representations(MuggletonandChen)andamodel-theoreticexpressivityan- ysis(Jaeger).

Автор: David Page
Название: Inductive Logic Programming
ISBN: 3540647384 ISBN-13(EAN): 9783540647386
Издательство: Springer
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Описание: This volume constitutes the refereed proceedings of the 8th Conference on Inductive Logic Programming. All relevant aspects of inductive logic programming are covered, ranging from theory to implementations and applications.

Название: Inductive logic programming
ISBN: 3319237071 ISBN-13(EAN): 9783319237077
Издательство: Springer
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 24th International Conference on Inductive Logic Programming, ILP 2014, held in Nancy, France, in September 2014. The 14 revised papers presented were carefully reviewed and selected from 41 submissions.