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Artificial Intelligence and Machine Learning

35th Benelux Conference, BNAIC/Benelearn 2023, Delft, The Netherlands, November 8–10, 2023, Revised Selected Papers

  • Conference proceedings
  • Nov 2024
  • Latest edition

Overview

Editors:
  1. Frans A. Oliehoek

    1. Delft University of Technology, Delft, The Netherlands

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    You can also search for this editor in PubMed   Google Scholar

  2. Manon Kok

    1. Delft University of Technology, Delft, The Netherlands

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    You can also search for this editor in PubMed   Google Scholar

  3. Sicco Verwer

    1. Delft University of Technology, Delft, The Netherlands

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 2187)

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About this book

This book constitutes the refereed proceedings of the 35th Benelux Conference on Artificial Intelligence and Machine Learning, BNAIC/Benelearn 2023, held in Delft, The Netherlands, during November 8–10, 2023.

The 14 papers included in these proceedings were carefully reviewed and selected from 47 submissions. These papers focus on various aspects of Artificial Intelligence and Machine learning, including Natural Language Processing and Reinforcement Learning, and their applications.

Keywords

  • Artificial Intelligence
  • Machine Learning
  • Planning
  • Vision
  • Applications of AI
  • Natural Language Processing
  • Reinforcement Learning

Editors and Affiliations

  • Delft University of Technology, Delft, The Netherlands

    Frans A. Oliehoek, Manon Kok, Sicco Verwer

Bibliographic Information

  • Book Title: Artificial Intelligence and Machine Learning

  • Book Subtitle: 35th Benelux Conference, BNAIC/Benelearn 2023, Delft, The Netherlands, November 8–10, 2023, Revised Selected Papers

  • Editors: Frans A. Oliehoek, Manon Kok, Sicco Verwer

  • Series Title: Communications in Computer and Information Science

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Softcover ISBN: 978-3-031-74649-9Due: 15 November 2024

  • eBook ISBN: 978-3-031-74650-5Due: 15 November 2024

  • Series ISSN: 1865-0929

  • Series E-ISSN: 1865-0937

  • Edition Number: 1

  • Number of Pages: XX, 272

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