Approaches and Applications of Inductive Programming, Ute Schmid; Emanuel Kitzelmann
Автор: Gerson Zaverucha; V?tor Santos Costa; Aline Paes Название: Inductive Logic Programming ISBN: 3662449226 ISBN-13(EAN): 9783662449226 Издательство: Springer Рейтинг: Цена: 5590.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The conference now focuses on all aspects of learning in logic, multi-relational learning and data mining, statistical relational learning, graph and tree mining, relational reinforcement learning, and other forms of learning from structured data.
Автор: David Page Название: Inductive Logic Programming ISBN: 3540647384 ISBN-13(EAN): 9783540647386 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Stephen Muggleton; Ramon Otero; Alireza Tamaddoni- Название: Inductive Logic Programming ISBN: 3540738460 ISBN-13(EAN): 9783540738466 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Stephen Muggleton Название: Inductive Logic Programming ISBN: 3540634940 ISBN-13(EAN): 9783540634942 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: James Cussens; Alessandra Russo Название: Inductive Logic Programming ISBN: 3319633414 ISBN-13(EAN): 9783319633411 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Название: Inductive logic programming ISBN: 3319237071 ISBN-13(EAN): 9783319237077 Издательство: Springer Рейтинг: Цена: 6708.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Hendrik Blockeel; Jan Ramon; Jude Shavlik; Prasad Название: Inductive Logic Programming ISBN: 3540784683 ISBN-13(EAN): 9783540784685 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 17th International Conference ILP 2007 Corvallis OR USA June 19-21 2007 Revised Selected Papers.
Автор: Luc De Raedt; Paolo Frasconi; Kristian Kersting; S Название: Probabilistic Inductive Logic Programming ISBN: 3540786511 ISBN-13(EAN): 9783540786511 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: James Cussens; Alan Frisch Название: Inductive Logic Programming ISBN: 354067795X ISBN-13(EAN): 9783540677956 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text constitutes the refereed proceedings of the 10th International Conference on Inductive Logic Programming, ILP 2000, held in London in July 2000 as part of CL 2000. The 15 revised full papers presented together with an invited paper were carefully reviewed and selected from 37 submissions.
Автор: Saso Dzeroski; Peter A. Flach Название: Inductive Logic Programming ISBN: 3540661093 ISBN-13(EAN): 9783540661092 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Filip ?elezn?; Nada Lavra? Название: Inductive Logic Programming ISBN: 3540859276 ISBN-13(EAN): 9783540859277 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 18th International Conference on Inductive Logic Programming, ILP 2008, held in Prague, Czech Republic, in September 2008. This title covers various topics in inductive logic programming, ranging from theoretical and methodological issues to advanced applications.
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