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Artificial Intelligence and Machine Learning : 31st Benelux AI Conference, BNAIC 2019, and 28th Belgian-Dutch Machine Learning Conference, BENELEARN 2019, Brussels, Belgium, November 6-8, 2019, Revised Selected Papers / edited by Bart Bogaerts, Gianluca Bontempi, Pierre Geurts, Nick Harley, Bertrand Lebichot, Tom Lenaerts, Gilles Louppe.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Communications in computer and information science 1865-0937 ; 1196
- Communications in Computer and Information Science, 1865-0937 ; 1196
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computer engineering.
- Computer networks.
- Computer vision.
- Pattern recognition systems.
- Computer science-Mathematics.
- Mathematical statistics.
- Artificial Intelligence.
- Computer Engineering and Networks.
- Computer Vision.
- Automated Pattern Recognition.
- Probability and Statistics in Computer Science.
- Local Subjects:
- Artificial Intelligence.
- Computer Engineering and Networks.
- Computer Vision.
- Automated Pattern Recognition.
- Probability and Statistics in Computer Science.
- Physical Description:
- 1 online resource (XII, 201 pages) : 83 illustrations, 61 illustrations in color.
- Edition:
- 1st ed. 2020.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2020.
- System Details:
- text file PDF
- Summary:
- This book contains a selection of the best papers of the 31st Benelux Conference on Artificial Intelligence, BNAIC 2019, and 28th Belgian Dutch Machine Learning Conference, BENELEARN 2019, held in Brussels, Belgium in November 2019. The 11 papers presented in this volume were carefully reviewed and selected from 50 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-65154-1
- 9783030651541
- Access Restriction:
- Restricted for use by site license.
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