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Inductive Logic Programming - 30th International Conference, ILP 2021, Virtual Event, October 25-27, 2021, Proceedings (Paperback, 1st ed. 2022) Loot Price: R1,748
Discovery Miles 17 480
Inductive Logic Programming - 30th International Conference, ILP 2021, Virtual Event, October 25-27, 2021, Proceedings...

Inductive Logic Programming - 30th International Conference, ILP 2021, Virtual Event, October 25-27, 2021, Proceedings (Paperback, 1st ed. 2022)

Nikos Katzouris, Alexander Artikis

Series: Lecture Notes in Computer Science, 13191

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Loot Price R1,748 Discovery Miles 17 480 | Repayment Terms: R164 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Lecture Notes in Computer Science, 13191
Release date: February 2022
First published: 2022
Editors: Nikos Katzouris • Alexander Artikis
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 283
Edition: 1st ed. 2022
ISBN-13: 978-3-03-097453-4
Categories: Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Computing & IT > Computer communications & networking > General
Books > Computing & IT > Computer programming > Programming languages > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-03-097453-7
Barcode: 9783030974534

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