Artificial Intelligence and Machine Learning | 32nd Benelux Conference, BNAIC/Benelearn 2020, Leiden, The Netherlands, November 19-20, 2020, Revised Selected Papers

Mitra Baratchi (u. a.)

ISBN 10: 303076639X / ISBN 13: 9783030766399

Published by Springer, 2021

About this Item

Artificial Intelligence and Machine Learning | 32nd Benelux Conference, BNAIC/Benelearn 2020, Leiden, The Netherlands, November 19-20, 2020, Revised Selected Papers | Mitra Baratchi (u. a.) | Taschenbuch | x | Englisch | 2021 | Springer | EAN 9783030766399 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 119917916

Bibliographic Details

• Title: Artificial Intelligence and Machine Learning | 32nd Benelux Conference, BNAIC/Benelearn 2020, Leiden, The Netherlands, November 19-20, 2020, Revised Selected Papers
• Publisher: Springer
• Publication Date: 2021
• Language: English
• ISBN 10: 303076639X
• ISBN 13: 9783030766399
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 12D millimeters 235 millimeters width by 155 millimeters height by 12 millimeters depth
• Weight: 335 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book contains a selection of the best papers of the 32nd Benelux Conference on Artificial Intelligence, BNAIC/Benelearn 2020, held in Leiden, The Netherlands, in November 2020. Due to the COVID-19 pandemic the conference was held online. 

The 12 papers presented in this volume were carefully reviewed and selected from 41 regular submissions. They address various aspects of artificial intelligence such as natural language processing, agent technology, game theory, problem solving, machine learning, human-agent interaction, AI and education, and data analysis.

The chapter 11 is published open access under a CC BY license (Creative Commons Attribution 4.0 International License) 

Chapter “Gaining Insight into Determinants of Physical Activity Using Bayesian Network Learning” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.. 

From the Back Cover

Chapter “Gaining Insight into Determinants of Physical Activity Using Bayesian Network Learning” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.