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Inductive Logic Programming [electronic resource] : 31st International Conference, ILP 2022, Windsor Great Park, UK, September 28–30, 2022, Proceedings / edited by Stephen H. Muggleton, Alireza Tamaddoni-Nezhad.

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TextSeries: Lecture Notes in Artificial Intelligence ; 13779Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: X, 157 p. 35 illus., 20 illus. in color. online resourceContent type:

text

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computer

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online resource

ISBN:

9783031556302

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleLOC classification:

Q334-342
TA347.A78

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In: Springer Nature eBookSummary: 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. .

Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)

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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. .

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