Titlebook: Scalable Uncertainty Management; 14th International C Jesse Davis,Karim Tabia Conference proceedings 2020 Springer Nature Switzerland AG 20

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0302-9743 machine learning, databases, information retrieval and data mining, the semantic web and risk analysis...Due to the Corona pandemic SUM 2020 was held as an virtual event..978-3-030-58448-1978-3-030-58449-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Mingle

0302-9743 held in Bozen-Bolzano, Italy, in September 2020.. The 12 full, 7 short papers presented in this volume were carefully reviewed and selected from 30 submissions. Besides that, the book also contains 2 abstracts of invited talks, 2 tutorial papers, and 2 PhD track papers. The conference aims to gathe

manifestation

From Possibilistic Rule-Based Systems to?Machine Learning - A Discussion Paper possibility distributions can be obtained from precise or imprecise statistical data, and then surveys the few existing works on learning in a possibilistic setting. A final discussion emphasizes the interest of handling learning and reasoning in a consistent way.

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Belief Functions for Safety Arguments Confidence Estimation: A Comparative Study some extent, these current approaches fail to provide a consistent relationship between the informal statement of arguments, their logical model and the use of belief functions. We also propose recommendations to improve this consistency.

過度

Computable Randomness Is About More Than Probabilitiesions that are more informative have fewer computably random sequences. This leads to the intriguing question whether every sequence is computably random with respect to a unique most informative lower expectation. We study this question in some detail and provide a partial answer.