Scalable Uncertainty Management

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This 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.


Inhalt
Tutorial 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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783031188428
    • Genre Information Technology
    • Auflage 1st edition 2022
    • Editor Florence Dupin de Saint-Cyr, Nico Potyka, Meltem Öztürk-Escoffier
    • Lesemotiv Verstehen
    • Anzahl Seiten 392
    • Größe H235mm x B155mm x T22mm
    • Jahr 2022
    • EAN 9783031188428
    • Format Kartonierter Einband
    • ISBN 303118842X
    • Veröffentlichung 15.10.2022
    • Titel Scalable Uncertainty Management
    • Untertitel 15th International Conference, SUM 2022, Paris, France, October 17-19, 2022, Proceedings
    • Gewicht 593g
    • Herausgeber Springer Nature Switzerland
    • Sprache Englisch

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