Epistemic Uncertainty in Artificial Intelligence (Record no. 87889)
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fixed length control field | 02486nam a22005055i 4500 |
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control field | 978-3-031-57963-9 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
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 : |
-- | Imprint: Springer, |
-- | 2024. |
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial intelligence. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial Intelligence. |
700 1# - AUTHOR 2 | |
-- | (orcid) |
-- | 0000-0002-9271-2130 |
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-- | 0000-0002-8831-843X |
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-- | 2945-9141 ; |
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