Inductive Logic Programming (Paperback)

Nikos Katzouris

ISBN 10: 3030974537 ISBN 13: 9783030974534

Edit� par Springer Nature Switzerland AG, Cham, 2022

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Paperback. This book constitutes the refereed conference proceedings of the 30th International Conference on Inductive Logic Programming, ILP 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 papers and 3 short papers presented were carefully reviewed and selected from 19 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. This book constitutes the refereed conference proceedings of the 30th International Conference on Inductive Logic Programming, ILP 2021, held in October 2021. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9783030974534

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This book constitutes the refereed conference proceedings of the 30th International Conference on Inductive Logic Programming, ILP 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually.

The 16 papers and 3 short papers presented were carefully reviewed and selected from 19 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.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

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Titre : Inductive Logic Programming (Paperback)
�diteur : Springer Nature Switzerland AG, Cham
Date d'�dition : 2022
Reliure : Paperback
Etat : new
Edition : Edition originale

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Inductive Logic Programming

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ISBN 10 : 3030974537 ISBN 13 : 9783030974534

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes the refereed conference proceedings of the 30th International Conference on Inductive Logic Programming, ILP 2032, held in October 2021.This book constitutes the refereed conference proceedings of the 30th International Conference . N� de r�f. du vendeur 560621301

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Inductive Logic Programming | 30th International Conference, ILP 2021, Virtual Event, October 25-27, 2021, Proceedings

Alexander Artikis (u. a.)

Edit� par Springer Nature Switzerland, 2022

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Inductive Logic Programming : 30th International Conference, Ilp 2021, Virtual Event, October 25?27, 2021, Proceedings

Katzouris, Nikos (EDT); Artikis, Alexander (EDT)

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Inductive Logic Programming: 30th International Conference, ILP 2021, Virtual Event, October 25-27, 2021, Proceedings (Lecture Notes in Artificial Intelligence)

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Inductive Logic Programming

Alexander Artikis

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed conference proceedings of the 30th International Conference on Inductive Logic Programming, ILP 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 papers and 3 short papers presented were carefully reviewed and selected from 19 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. 296 pp. Englisch. N� de r�f. du vendeur 9783030974534

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Inductive Logic Programming : 30th International Conference, ILP 2021, Virtual Event, October 25�27, 2021, Proceedings

Alexander Artikis

Edit� par Springer International Publishing, 2022

ISBN 10 : 3030974537 ISBN 13 : 9783030974534

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed conference proceedings of the 30th International Conference on Inductive Logic Programming, ILP 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 papers and 3 short papers presented were carefully reviewed and selected from 19 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. N� de r�f. du vendeur 9783030974534

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Inductive Logic Programming

Alexander Artikis

Edit� par Springer International Publishing, Springer Nature Switzerland Feb 2022, 2022

ISBN 10 : 3030974537 ISBN 13 : 9783030974534

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. Neuware -This book constitutes the refereed conference proceedings of the 30th International Conference on Inductive Logic Programming, ILP 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually.The 16 papers and 3 short papers presented were carefully reviewed and selected from 19 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 296 pp. Englisch. N� de r�f. du vendeur 9783030974534

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