Modeling Decisions for Artificial Intelligence (Record no. 172825)

MARC details
000 -LEADER
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001 - CONTROL NUMBER
control field 978-3-031-13448-7
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423124957.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031134487
-- 978-3-031-13448-7
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-13448-7
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA347.A78
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
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Subject category code COM004000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
245 10 - TITLE STATEMENT
Title Modeling Decisions for Artificial Intelligence
Medium [electronic resource] :
Remainder of title 19th International Conference, MDAI 2022, Sant Cugat, Spain, August 30 – September 2, 2022, Proceedings /
Statement of responsibility, etc edited by Vicenç Torra, Yasuo Narukawa.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2022.
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2022.
300 ## - PHYSICAL DESCRIPTION
Extent XVIII, 203 p. 58 illus., 42 illus. in color.
Other physical details online resource.
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Artificial Intelligence,
International Standard Serial Number 2945-9141 ;
Volume number/sequential designation 13408
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Decision making and uncertainty -- Optimality Analysis for Stochastic LP Problems -- A Multi-Perceptual-Based Approach for Group Decision Aiding -- Probabilistic Judgement Aggregation by Opinion Update -- Semiring-valued fuzzy rough sets and colour segmentation -- Data privacy -- Bistochastic privacy -- Improvement of Estimate Distribution with Local Differential Privacy -- Geolocated Data Generation and Protection Using Generative Adversarial Net-works -- Machine Learning and data science -- A Strategic Approach based on AND-OR Recommendation Trees for Updating Obsolete Information -- Identification of Subjects Wearing a Surgical Mask from their Speech by means of x-vectors and Fisher Vectors -- Measuring Fairness in Machine Learning models via Counterfactual Examples -- Re-Calibrating Machine Learning Models using Confidence Interval Bounds -- An Analysis of Byzantine-Tolerant Aggregation Mechanisms on Model Poisoning in Federated Learning -- Effective Early Stopping of Point Cloud Neural Networks -- Representation and Interpretability of IE Integral Neural Networks -- Deep Attributed Graph Embeddings -- Estimation of Prediction Error with Regression Trees.
520 ## - SUMMARY, ETC.
Summary, etc This book constitutes the refereed proceedings of the 19th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2022, held in Sant Cugat, Spain, during August - September 2022. The 16 papers presented in this volume were carefully reviewed and selected from 41 submissions. The papers discuss different facets of decision processes in a broad sense and present research in data science, machine learning, data privacy, aggregation functions, human decision-making, graphs and social networks, and recommendation and search. They were organized in topical sections as follows: Decision making and uncertainty; Data privacy; Machine Learning and data science.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer networks .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Social sciences
General subdivision Data processing.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Engineering and Networks.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Application in Social and Behavioral Sciences.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Torra, Vicenç.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Narukawa, Yasuo.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031134470
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031134494
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Artificial Intelligence,
-- 2945-9141 ;
Volume number/sequential designation 13408
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-13448-7">https://doi.org/10.1007/978-3-031-13448-7</a>
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-CSE-Springer

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