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024 7 _a10.1007/978-3-030-58449-8
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
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072 7 _aCOM004000
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072 7 _aUYQ
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082 0 4 _a006.3
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245 1 0 _aScalable Uncertainty Management
_h[electronic resource] :
_b14th International Conference, SUM 2020, Bozen-Bolzano, Italy, September 23-25, 2020, Proceedings /
_cedited by Jesse Davis, Karim Tabia.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXIV, 297 p. 208 illus., 25 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v12322
505 0 _aSymbolic Logic Meets Machine Learning: A Brief Survey in Infinite Domains -- Score-Based Explanations in Data Management and Machine Learning -- From Ppossibilistic Rule-Based Systems to Machine Learning -- Logic, Probability and Action: A Situation Calculus Perspective -- When Nominal Analogical Proportions do not Fail -- Measuring Disagreement with Interpolants -- Inferring from an imprecise Plackett-Luce model: Application to Label Ranking -- Inference with Choice Functions Made Practical -- A Formal Learning Theory for Three-way Clustering -- Belief Functions for Safety Arguments Confidence Estimation -- Incremental Elicitation of Capacities for the Sugeno Integral with a Maximum Approach -- Computable Randomness is About More than Probabilities -- Equity in Learning Problems: an OWA Approach -- Conversational Recommender System by Bayesian Methods -- Dealing with Atypical Instances in Evidential Decision-Making -- Evidence Theory Based Combination of Frequent Chronicles for Failure Prediction.-Rule-Based Classification for Evidential Data -- Undecided Voters as Set-Valued Information -- Towards Forecasts under Epistemic Imprecision -- Multi-Dimensional Stable Matching Problems in Abstract Argumentation -- Modal Interpretation of Formal Concept Analysis for Incomplete Representations -- A Symbolic Approach for Counterfactual Explanations -- Modelling Multivariate Ranking Functions with Min-Sum Networks -- An Algorithm for the Contension Inconsistency Measure using Reductions to Answer Set Programming.
520 _aThis book constitutes the refereed proceedings of the 14th International Conference on Scalable Uncertainty Management, SUM 2020, which was 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 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. Due to the Corona pandemic SUM 2020 was held as an virtual event.
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer science
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650 0 _aMachine learning.
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650 0 _aComputer networks .
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650 0 _aComputer systems.
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650 0 _aData mining.
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650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aMathematics of Computing.
_931875
650 2 4 _aMachine Learning.
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650 2 4 _aComputer Communication Networks.
_9112441
650 2 4 _aComputer System Implementation.
_938514
650 2 4 _aData Mining and Knowledge Discovery.
_9112442
700 1 _aDavis, Jesse.
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700 1 _aTabia, Karim.
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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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