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LATEST ADVANCES IN INDUCTIVE LOGIC PROGRAMMING
Language: English
Published by Imperial College Press, 2014
ISBN 10: 1783265086 ISBN 13: 9781783265084
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Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Condition: As New. Unread book in perfect condition.
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Condition: As New. Unread book in perfect condition.
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Inductive Logic Programming : 31st International Conference, Ilp 2022, Windsor Great Park, Uk, September 28-30, 2022, Proceedings
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Inductive Logic Programming: 31st International Conference, ILP 2022, Windsor Great Park, UK, September 28-30, 2022, Proceedings (Lecture Notes in Artificial Intelligence)
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Probabilistic Inductive Logic Programming (Lecture Notes in Computer Science, 4911)
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Latest Advances in Inductive Logic Programming
Language: English
Published by Imperial College Press, 2014
ISBN 10: 1783265086 ISBN 13: 9781783265084
Condition: Used. pp. 264.
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Latest Advances in Inductive Logic Programming
Language: English
Published by Imperial College Press, 2014
ISBN 10: 1783265086 ISBN 13: 9781783265084
Condition: Used. pp. 264.
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Condition: New. pp. 356.
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Inductive Logic Programming : 31st International Conference, Ilp 2022, Windsor Great Park, Uk, September 28-30, 2022, Proceedings
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Latest Advances in Inductive Logic Programming
Language: English
Published by Imperial College Press, 2014
ISBN 10: 1783265086 ISBN 13: 9781783265084
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Latest Advances in Inductive Logic Programming
Language: English
Published by Imperial College Press, 2014
ISBN 10: 1783265086 ISBN 13: 9781783265084
Condition: New.
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Latest Advances in Inductive Logic Programming
Language: English
Published by Imperial College Press, 2014
ISBN 10: 1783265086 ISBN 13: 9781783265084
Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: New. 2024th edition NO-PA16APR2015-KAP.
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Latest Advances in Inductive Logic Programming
Language: English
Published by Imperial College Press, 2014
ISBN 10: 1783265086 ISBN 13: 9781783265084
Condition: Used. pp. 264.
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Probabilistic Inductive Logic Programming
Language: English
Published by Springer-Verlag New York Inc, 2008
ISBN 10: 3540786511 ISBN 13: 9783540786511
Paperback. Condition: Brand New. 1st edition. 339 pages. 9.00x6.00x1.00 inches. In Stock.
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Inductive Logic Programming: 31st International Conference, Ilp 2022, Windsor Great Park, Uk, September 28-30, 2022, Proceedings
Language: English
Published by Springer-Nature New York Inc, 2024
ISBN 10: 3031556291 ISBN 13: 9783031556296
Paperback. Condition: Brand New. 167 pages. 9.25x6.10x0.36 inches. In Stock.
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Latest Advances In Inductive Logic Programming
Language: English
Published by Imperial College Press, 2014
ISBN 10: 1783265086 ISBN 13: 9781783265084
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Latest Advances In Inductive Logic Programming
Language: English
Published by Imperial College Press, 2014
ISBN 10: 1783265086 ISBN 13: 9781783265084
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Latest Advances in Inductive Logic Programming
Language: English
Published by Imperial College Press, 2014
ISBN 10: 1783265086 ISBN 13: 9781783265084
Condition: As New. Unread book in perfect condition.
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Latest Advances in Inductive Logic Programming
Language: English
Published by Imperial College Press, 2014
ISBN 10: 1783265086 ISBN 13: 9781783265084
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Seller rating 5 out of 5 stars
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LATEST ADVANCES IN INDUCTIVE LOGIC PROGRAMMING
Language: English
Published by Imperial College Press, 2014
ISBN 10: 1783265086 ISBN 13: 9781783265084
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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-theoreticexpressivitya n- ysis(Jaeger).
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Latest Advances in Inductive Logic Programming
Language: English
Published by Imperial College Press, 2014
ISBN 10: 1783265086 ISBN 13: 9781783265084
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Latest Advances In Inductive Logic Programming
Language: English
Published by Imperial College Press, 2014
ISBN 10: 1783265086 ISBN 13: 9781783265084
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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£ 86.97
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Taschenbuch. Condition: Neu. Probabilistic Inductive Logic Programming | Luc De Raedt (u. a.) | Taschenbuch | viii | Englisch | 2008 | Springer | EAN 9783540786511 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Inductive Logic Programming : 31st International Conference, ILP 2022, Windsor Great Park, UK, September 28-30, 2022, Proceedings
Language: English
Published by Springer International Publishing, Springer Nature Switzerland, 2024
ISBN 10: 3031556291 ISBN 13: 9783031556296
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 31st International Conference on Inductive Logic Programming, ILP 2022, held during September 28-30, 2022.The 11 regular papers presented in this book were carefully reviewed and selected from 26 submissions The papers in these proceedings represent the diversity and vitality in present ILP research, including statistical relational learning, transfer learning, scientific reasoning, learning temporal models, synthesis and planning, and argumentation and language.
