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Inductive Logic Programming 30th (9 results)
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Condition: As New. Unread book in perfect condition.
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Inductive Logic Programming: 30th International Conference, ILP 2021, Virtual Event, October 25-27, 2021, Proceedings (Lecture Notes in Artificial Intelligence)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 79.78
US$ 15.69 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Inductive Logic Programming : 30th International Conference, Ilp 2021, Virtual Event, October 25?27, 2021, Proceedings
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 79.77
US$ 19.65 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Inductive Logic Programming : 30th International Conference, Ilp 2021, Virtual Event, October 25?27, 2021, Proceedings
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 90.25
US$ 19.65 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Inductive Logic Programming : 30th International Conference, ILP 2021, Virtual Event, October 25¿27, 2021, Proceedings
Published by Springer International Publishing, 2022
ISBN 10: 3030974537 ISBN 13: 9783030974534
Language: English
Taschenbuch. Condition: 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.
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