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_aEpistemic Uncertainty in Artificial Intelligence _h[electronic resource] : _bFirst International Workshop, Epi UAI 2023, Pittsburgh, PA, USA, August 4, 2023, Revised Selected Papers / _cedited by Fabio Cuzzolin, Maryam Sultana. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
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_aXXVII, 113 p. 32 illus., 31 illus. in color. _bonline resource. |
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_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v14523 |
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| 520 | _aThis 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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_fUABC ; _cPerpetuidad |
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| 650 | 0 | _aArtificial intelligence. | |
| 650 | 1 | 4 | _aArtificial Intelligence. |
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_aCuzzolin, Fabio. _eeditor. _0(orcid)0000-0002-9271-2130 _1https://orcid.org/0000-0002-9271-2130 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aSultana, Maryam. _eeditor. _0(orcid)0000-0002-8831-843X _1https://orcid.org/0000-0002-8831-843X _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v14523 |
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