Artificial Intelligence and Machine Learning - Baratchi Mitra
Artificial Intelligence and Machine Learning - Baratchi Mitra
- 32nd Benelux Conference, BNAIC/Benelearn 2020, Leiden, The Netherlands, November 19-20, 2020, Revised Selected Papers
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..
EAN: 9783030766399
Marka
Symbol
020HKG03527KS
Rok wydania
2021
Strony
216
Oprawa
Miekka
Format
15.6x23.4cm
Redakcja
Baratchi Mitra
Język
angielski

Bez ryzyka
14 dni na łatwy zwrot

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Marka
Symbol
020HKG03527KS
Kod producenta
9783030766399
Rok wydania
2021
Strony
216
Oprawa
Miekka
Format
15.6x23.4cm
Redakcja
Baratchi Mitra
Język
angielski

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.
EAN: 9783030766399
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..
EAN: 9783030766399
Niepotwierdzona zakupem
Ocena: /5
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