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245 1 0 _aScalable Uncertainty Management
_h[electronic resource] :
_b15th International Conference, SUM 2022, Paris, France, October 17-19, 2022, Proceedings /
_cedited by Florence Dupin de Saint-Cyr, Meltem Öztürk-Escoffier, Nico Potyka.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXVII, 371 p. 37 illus., 19 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v13562
505 0 _aTutorial Articles -- Full Papers: Non-classical Reasoning -- Full Papers: Inconsistency -- Full Papers: Decision Making and Social Choice -- Full Papers: Learning -- Full Papers: Explanation -- Short Papers: Non-classical Reasoning -- Short Papers: Explanation. .
520 _aThis book constitutes the refereed proceedings of the 15th International Conference on Scalable Uncertainty Management, SUM 2022, which was held in Paris, France, in October 2022. The 19 full and 4 short papers presented in this volume were carefully reviewed and selected from 25 submissions. Besides that, the book also contains 3 abstracts of invited talks and 2 tutorial papers. The conference aims to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as artificial intelligence and machine learning, databases, information retrieval and data mining, the semantic web and risk analysis. The chapter "Defining and Enforcing Descriptive Accuracy in Explanations: the Case of Probabilistic Classifiers" is licensed under the terms of the Creative Commons Attribution 4.0 International License.
650 0 _aArtificial intelligence.
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650 1 4 _aArtificial Intelligence.
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700 1 _aDupin de Saint-Cyr, Florence.
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700 1 _aÖztürk-Escoffier, Meltem.
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700 1 _aPotyka, Nico.
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Artificial Intelligence,
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856 4 0 _uhttps://doi.org/10.1007/978-3-031-18843-5
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