001468069 000__ 05187cam\\2200733\i\4500
001468069 001__ 1468069
001468069 003__ OCoLC
001468069 005__ 20230707003352.0
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001468069 019__ $$a1379448768$$a1379466369$$a1379479985
001468069 020__ $$a9783031334986$$q(electronic bk.)
001468069 020__ $$a3031334981$$q(electronic bk.)
001468069 020__ $$z9783031334979
001468069 020__ $$z3031334973
001468069 0247_ $$a10.1007/978-3-031-33498-6$$2doi
001468069 035__ $$aSP(OCoLC)1379804810
001468069 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP
001468069 049__ $$aISEA
001468069 050_4 $$aQ334
001468069 08204 $$a006.3$$223/eng/20230523
001468069 1112_ $$aMDAI (Conference)$$n(20th :$$d2023 :$$cUmeå, Sweden)
001468069 24510 $$aModeling decisions for artificial intelligence :$$b20th international conference, MDAI 2023, Umeå, Sweden, June 19-22, 2023, proceedings /$$cVicenç Torra, Yasuo Narukawa, editors.
001468069 24630 $$aMDAI 2023
001468069 250__ $$a1st ed. 2023.
001468069 264_1 $$aCham :$$bSpringer Nature Switzerland :$$bImprint: Springer,$$c2023.
001468069 300__ $$a1 online resource (XX, 265 pages. 44 illustrations, 25 illustrations in color.)
001468069 336__ $$atext$$btxt$$2rdacontent
001468069 337__ $$acomputer$$bc$$2rdamedia
001468069 338__ $$aonline resource$$bcr$$2rdacarrier
001468069 4901_ $$aLecture notes in computer science. Lecture notes in artificial intelligence,$$x2945-9141 ;$$v13890
001468069 4901_ $$aLNCS sublibrary: SL7 - Artificial intelligence
001468069 500__ $$aInternational conference proceedings.
001468069 500__ $$aIncludes author index.
001468069 5050_ $$aLogic Aggregators and Their Implementations -- Decision making and uncertainty -- Multi-Target Decision Making under Conditions of Severe Uncertainty -- Constructive set function and extraction of a k-dimensional element -- Coherent upper conditional previsions defined by fractal outer measures to represent the unconscious activity of human brain -- Discrete chain-based Choquet-like operators -- On a new generalization of decomposition integrals -- Bipolar OWA operators with continuous input function -- Machine Learning and data science -- Cost-constrained group feature selection using information theory -- Conformal Prediction for Accuracy Guarantees in Classification with Reject Option -- Adapting the Gini's index for solving Predictive Tasks -- Bayesian logistic model for positive and unlabeled data -- A goal-oriented specification language for reinforcement learning -- Improved Spectral Norm Regularization for Neural Networks -- Preprocessing Matters: Automated Pipeline Selection for Fair Classification -- Predicting Next Whereabouts using Deep Learning -- A Generalization of Fuzzy c-Means with Variables Controlling Cluster Size -- Data privacy -- Local Differential Privacy Protocol for Making Key{Value Data Robust against Poisoning Attacks -- Differential Privacy through Noise-Graph Addition.
001468069 506__ $$aAccess limited to authorized users.
001468069 520__ $$aThis book constitutes the refereed proceedings of the 20th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2023, held in Umeå, Sweden, during June19–22,2023. The 17 papers presented in this volume were carefully reviewed and selected from 28 submissions. Additionally, 1 invited paper were included. The papers discuss different facets of decision processes in a broad sense and present research in data science, data privacy, aggregation functions, human decision making, graphs and social networks, and recommendation and search. The papers are organized in the following topical sections: Decision making and uncertainty; Machine Learning and data science; and Data privacy.
001468069 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 23, 2023).
001468069 650_0 $$aArtificial intelligence$$xMathematical models$$vCongresses.
001468069 650_0 $$aDecision making$$xMathematical models$$vCongresses.
001468069 650_0 $$aComputer simulation$$vCongresses.
001468069 655_0 $$aElectronic books.
001468069 655_7 $$aConference papers and proceedings.$$2lcgft
001468069 7001_ $$aTorra, Vicenç,$$eeditor.
001468069 7001_ $$aNarukawa, Yasuo,$$eeditor.
001468069 77608 $$iPrint version: $$z3031334973$$z9783031334979$$w(OCoLC)1376771410
001468069 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
001468069 830_0 $$aLecture notes in computer science ;$$v13890.$$x2945-9141
001468069 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
001468069 852__ $$bebk
001468069 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-33498-6$$zOnline Access$$91397441.1
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001468069 980__ $$aBIB
001468069 980__ $$aEBOOK
001468069 982__ $$aEbook
001468069 983__ $$aOnline
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