國立高雄大學圖資館 |

Language: English

Back

Scalable uncertainty management14th ...

(1998 :)

Scalable uncertainty management14th International Conference, SUM 2020, Bozen-Bolzano, Italy, September 23-25, 2020 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Scalable uncertainty managementedited by Jesse Davis, Karim Tabia.
Reminder of title:	14th International Conference, SUM 2020, Bozen-Bolzano, Italy, September 23-25, 2020 : proceedings /
remainder title:	SUM 2020
other author:	Davis, Jesse.
corporate name:
Published:	Cham :Springer International Publishing :2020.
Description:	xiv, 297 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Uncertainty (Information theory)
Online resource:	https://doi.org/10.1007/978-3-030-58449-8
ISBN:	9783030584498$q(electronic bk.)

Scalable uncertainty management14th International Conference, SUM 2020, Bozen-Bolzano, Italy, September 23-25, 2020 : proceedings /
Scalable uncertainty management14th International Conference, SUM 2020, Bozen-Bolzano, Italy, September 23-25, 2020 : proceedings /[electronic resource] :SUM 2020edited by Jesse Davis, Karim Tabia. - Cham :Springer International Publishing :2020. - xiv, 297 p. :ill., digital ;24 cm. - Lecture notes in computer science,123220302-9743 ;. - Lecture notes in computer science ;4891..

Symbolic 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.

This 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.

ISBN: 9783030584498$q(electronic bk.)

Standard No.: 10.1007/978-3-030-58449-8doiSubjects--Topical Terms:

206405
Uncertainty (Information theory)

LC Class. No.: Q375 / .S85 2020

Dewey Class. No.: 003.54

Scalable uncertainty management14th International Conference, SUM 2020, Bozen-Bolzano, Italy, September 23-25, 2020 : proceedings /
LDR:03505nmm a2200361 a 4500 001 592894
003 DE-He213
005 20200902114056.0
006 m d
007 cr nn 008maaau
008 210727s2020 sz s 0 eng d
020 $a 9783030584498$q(electronic bk.)
020 $a 9783030584481$q(paper)
024 7 $a 10.1007/978-3-030-58449-8 $2 doi
035 $a 978-3-030-58449-8
040 $a GP $c GP
041 0 $a eng
050 4 $a Q375 $b .S85 2020
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 003.54 $2 23
090 $a Q375 $b .S955 2020
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Scalable uncertainty management $h [electronic resource] : $b 14th International Conference, SUM 2020, Bozen-Bolzano, Italy, September 23-25, 2020 : proceedings / $c edited by Jesse Davis, Karim Tabia.
246 3 $a SUM 2020
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xiv, 297 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 12322
490 1 $a Lecture notes in artificial intelligence
505 0 $a Symbolic 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 $a This 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 $a Uncertainty (Information theory) $3 206405
650 1 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Mathematics of Computing. $3 273710
650 2 4 $a Machine Learning. $3 833608
650 2 4 $a Computer Communication Networks. $3 218087
650 2 4 $a Computer System Implementation. $3 276333
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
700 1 $a Davis, Jesse. $3 732611
700 1 $a Tabia, Karim. $3 787331
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
830 0 $a Lecture notes in artificial intelligence. $3 822012
856 4 0 $u https://doi.org/10.1007/978-3-030-58449-8
950 $a Computer Science (SpringerNature-11645)