LEADER 03953nam 2200517 450 001 9910427714203321 005 20210210212740.0 010 $a3-030-58449-6 024 7 $a10.1007/978-3-030-58449-8 035 $a(CKB)4100000011457882 035 $a(DE-He213)978-3-030-58449-8 035 $a(MiAaPQ)EBC6350757 035 $a(PPN)256018405 035 $a(EXLCZ)994100000011457882 100 $a20210210d2020 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aScalable uncertainty management $e14th International Conference, SUM 2020, Bozen-Bolzano, Italy, September 23-25, 2020, Proceedings /$fJesse Davis, Karim Tabia (editors) 205 $a1st ed. 2020. 210 1$aCham, Switzerland :$cSpringer,$d[2020] 210 4$dİ2020 215 $a1 online resource (XIV, 297 p. 208 illus., 25 illus. in color.) 225 1 $aLecture Notes in Computer Science ;$v12322 311 $a3-030-58448-8 327 $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. 330 $aThis book constitutes the refereed proceedings of the 14th International Conference on Scalable Uncertainty Management, SUM 2020, which was held in Bozen-Bolzano, Italy, in September 2020. The 12 full, 7 short papers presented in this volume were carefully reviewed and selected from 30 submissions. Besides that, the book also contains 2 abstracts of invited talks, 2 tutorial papers, and 2 PhD track papers. The conference aims to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as artificial intelligence and machine learning, databases, information retrieval and data mining, the semantic web and risk analysis. Due to the Corona pandemic SUM 2020 was held as an virtual event. 410 0$aLecture notes in computer science ;$v12322. 606 $aUncertainty (Information theory)$vCongresses 606 $aMathematical theory of computation 606 $aMachine learning 615 0$aUncertainty (Information theory) 615 0$aMathematical theory of computation. 615 0$aMachine learning. 676 $a003.54 702 $aDavis$b Jesse 702 $aTabia$b Karim 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910427714203321 996 $aScalable Uncertainty Management$9772490 997 $aUNINA