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Artificial Intelligence And Machine Learning 32nd Benelux Conference Bnaicbenelearn 2020 Leiden The Netherlands November 1920 2020 Revised In Computer And Information Science 1398 1st Edition Mitra Baratchi

  • SKU: BELL-34627412
Artificial Intelligence And Machine Learning 32nd Benelux Conference Bnaicbenelearn 2020 Leiden The Netherlands November 1920 2020 Revised In Computer And Information Science 1398 1st Edition Mitra Baratchi
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Artificial Intelligence And Machine Learning 32nd Benelux Conference Bnaicbenelearn 2020 Leiden The Netherlands November 1920 2020 Revised In Computer And Information Science 1398 1st Edition Mitra Baratchi instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 21.27 MB
Pages: 213
Author: Mitra Baratchi, Lu Cao, Walter A. Kosters, Jefrey Lijffijt, Jan N. van Rijn, Frank W. Takes
ISBN: 9783030766399, 303076639X
Language: English
Year: 2021
Edition: 1

Product desciption

Artificial Intelligence And Machine Learning 32nd Benelux Conference Bnaicbenelearn 2020 Leiden The Netherlands November 1920 2020 Revised In Computer And Information Science 1398 1st Edition Mitra Baratchi by Mitra Baratchi, Lu Cao, Walter A. Kosters, Jefrey Lijffijt, Jan N. Van Rijn, Frank W. Takes 9783030766399, 303076639X instant download after payment.

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.. 

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