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240502 ||| eng |
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|a 9783031579639
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| 100 |
1 |
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|a Cuzzolin, Fabio
|e [editor]
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| 245 |
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|a Epistemic Uncertainty in Artificial Intelligence
|h Elektronische Ressource
|b First International Workshop, Epi UAI 2023, Pittsburgh, PA, USA, August 4, 2023, Revised Selected Papers
|c edited by Fabio Cuzzolin, Maryam Sultana
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| 250 |
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|a 1st ed. 2024
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| 260 |
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|a Cham
|b Springer Nature Switzerland
|c 2024, 2024
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| 300 |
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|a XXVII, 113 p. 32 illus., 31 illus. in color
|b online resource
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Artificial intelligence
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| 700 |
1 |
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|a Sultana, Maryam
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
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|a Lecture Notes in Artificial Intelligence
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| 028 |
5 |
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|a 10.1007/978-3-031-57963-9
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| 856 |
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|u https://doi.org/10.1007/978-3-031-57963-9?nosfx=y
|x Verlag
|3 Volltext
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|a 006.3
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| 520 |
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|a 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
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