Trustworthy AI - Integrating Learning, Optimization and Reasoning / Lecture Notes in Computer Science Bd.12641 (PDF)
First International Workshop, TAILOR 2020, Virtual Event, September 4-5, 2020, Revised Selected Papers
(Sprache: Englisch)
This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on the Foundation of Trustworthy AI - Integrating Learning, Optimization and Reasoning, TAILOR 2020, held virtually in September 2020, associated with...
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Produktinformationen zu „Trustworthy AI - Integrating Learning, Optimization and Reasoning / Lecture Notes in Computer Science Bd.12641 (PDF)“
This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on the Foundation of Trustworthy AI - Integrating Learning, Optimization and Reasoning, TAILOR 2020, held virtually in September 2020, associated with ECAI 2020, the 24th European Conference on Artificial Intelligence.
The 11 revised full papers presented together with 6 short papers and 6 position papers were reviewed and selected from 52 submissions. The contributions address various issues for Trustworthiness, Learning, reasoning, and optimization, Deciding and Learning How to Act, AutoAI, and Reasoning and Learning in Social Contexts.
Bibliographische Angaben
- 2021, 1st ed. 2021, 278 Seiten, Englisch
- Herausgegeben: Fredrik Heintz, Michela Milano, Barry O'Sullivan
- Verlag: Springer International Publishing
- ISBN-10: 3030739597
- ISBN-13: 9783030739591
- Erscheinungsdatum: 12.04.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 25 MB
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Englisch
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