Epistemic Uncertainty in Artificial Intelligence (Record no. 87889)

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fixed length control field 02486nam a22005055i 4500
001 - CONTROL NUMBER
control field 978-3-031-57963-9
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control field 20240730171922.0
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031579639
-- 978-3-031-57963-9
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
245 10 - TITLE STATEMENT
Title Epistemic Uncertainty in Artificial Intelligence
Sub Title First International Workshop, Epi UAI 2023, Pittsburgh, PA, USA, August 4, 2023, Revised Selected Papers /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XXVII, 113 p. 32 illus., 31 illus. in color.
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Artificial Intelligence,
520 ## - SUMMARY, ETC.
Summary, etc This LNCS 14523 conference volume constitutes the proceedings of the First International Workshop, Epi UAI 2023, in Pittsburgh, PA, USA, August 2023. The 8 full papers together included in this volume were carefully reviewed and selected from 16 submissions. Epistemic AI focuses, in particular, on some of the most important areas of machine learning: unsupervised learning, supervised learning, and reinforcement learning.
700 1# - AUTHOR 2
Author 2 Cuzzolin, Fabio.
700 1# - AUTHOR 2
Author 2 Sultana, Maryam.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-57963-9
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Koha item type eBooks
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-- Springer Nature Switzerland :
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-- 2024.
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-- Artificial intelligence.
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-- Artificial Intelligence.
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-- 0000-0002-9271-2130
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