Modeling Decisions for Artificial Intelligence : 21st International Conference, MDAI 2024, Tokyo, Japan, August 27–31, 2024, Proceedings / / edited by Vicenç Torra, Yasuo Narukawa, Hiroaki Kikuchi

• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
• Edizione: 1st ed. 2024.
• Descrizione fisica: 1 online resource (257 pages)
• Disciplina: 006.3015118
• Soggetto topico: Artificial intelligence; Computer systems; Computer networks; Data structures (Computer science); Information theory; Computer science; Artificial Intelligence; Computer System Implementation; Computer Communication Networks; Data Structures and Information Theory; Theory of Computation
• Persona (resp. second.): TorraVicenç; NarukawaYasuo; KikuchiHiroaki
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Invited paper -- Taste Media Innovative Technology Transforms the Eating Experience -- Fuzzy measures and integrals -- An axiomatic definition of non discrete Mbius transform -- Fuzzy Rough Choquet Distances -- Uncertainty in AI -- Entropies from f divergences -- Comparative Study of Methods for Estimating Interval Priority Weights Focusing on the Accuracy in Selecting the Best Alternative -- Clustering -- Sequential Cluster Extraction by Noise Clustering Based on Local Outlier Factor -- On Objective Based Clustering from the Perspective of Transportation Problem -- Data science and data privacy -- Decision Tree Based Inference of Lightning Network Client Implementations -- nuggets Data Pattern Extraction Framework in R -- User centred Argumentation Analysis of Local Explanations in Explainable AI -- Revised Margin-Maximization Method for Fuzzy Nearest Prototype Classification -- Bistochastically private release of data streams with delay -- Differentially Private Extreme Learning Machine -- Studying the impact of edge privacy on link prediction in temporal graphs -- Dissimilar Similarities Comparing Human and Statistical Similarity Evaluation in Medical AI -- On the necessity of counterfeits and deletions for continuous data publishing -- A Poisoning-Resilient LDP schema leveraging Oblivious Transfer with the Hadamard Transform -- Experimental Evaluation for Risk Assessment of Privacy Preserving Synthetic Data -- Transforming Stock Price Forecasting Deep Learning Architectures and Strategic Feature Engineering.
• Sommario/riassunto: This book constitutes the refereed proceedings of the 21st International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2024, held in Umeå, Sweden, during August 27-30, 2024. The 18 full papers were carefully reviewed and selected from 37 submissions. There were organized in topical headings as follows: Fuzzy measures and integrals; uncertainty in AI; clustering; and data science and data privacy.
• Titolo autorizzato: Modeling Decisions for Artificial Intelligence
• ISBN: 3-031-68208-4
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910881097403321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Artificial Intelligence, . 2945-9141 ; ; 14986