Algorithmic decision theory : Third International Conference, ADT 2013, Bruxelles, Belgium, November 12-14, 2013, Proceedings

This book constitutes the thoroughly refereed conference proceedings of the Third International Conference on Algorithmic Decision Theory, ADT 2013, held in November 2013 in Bruxelles, Belgium. The 33 revised full papers presented were carefully selected from more than 70 submissions, covering prefe...

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書誌詳細
第一著者: Perny, Patrice
その他の著者: Pirlot, Marc (出版デイレクター), Tsoukiàs, Alexis (出版デイレクター)
フォーマット: Livre numérique
言語:Anglais
出版事項: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
版:1st ed. 2013.
シリーズ:Lecture Notes in Artificial Intelligence 8176
オンライン・アクセス:Accès sur la plateforme de l'éditeur (Springer)
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
注記: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Algorithmic Decision Theory, Texte imprimé, 9783642415760
• Algorithmic Decision Theory, Texte imprimé, 9783642415746
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505 1 |a Two Agents Competing for a Shared Machine Identification of a 2-Additive Bi-Capacity by Using Mathematical Programming How to Put through Your Agenda in Collective Binary Decisions Exact Approaches for Parameter Elicitation in Lexicographic Ordering Possible Winners in Approval Voting Computational Aspects of Manipulation and Control in Judgment Aggregation Property-Based Preferences in Abstract Argumentation Learning Multicriteria Utility Functions with Random Utility Models An Evolutionary Algorithm for the Biobjective Capacitated m-RingStar Problem Planning System for Emergency Services What Is a Decision Problem? Preliminary Statements Risk Information Extraction and Aggregation: Experimenting on Medline Abstracts How to Decrease the Degree of Envy in Allocations of Indivisible Goods Descriptive Profiles for Sets of Alternatives in Multiple Criteria Decision Aid Estimating Violation Risk for Fisheries Regulations Computing Convex Coverage Sets for Multi-objective Coordination Graphs Learning a Majority Rule Model from Large Sets of Assignment Examples Budgeted Personalized Incentive Approaches for Smoothing Congestion in Resource Networks Optimization Approaches for Solving Chance Constrained Stochastic Orienteering Problems Thompson Sampling for Bayesian Bandits with Resets Robust Optimization of Recommendation Sets with the Maximin Utility Criterion Possible Winner Problems on Partial Tournaments: A Parameterized Study.   
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