Modeling Decisions for Artificial Intelligence : 22nd International Conference, MDAI 2025, València, Spain, September 15–18, 2025, Proceedings / / edited by Vicenç Torra, Yasuo Narukawa, Josep Domingo-Ferrer

• Autore: Torra Vicenç
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026
• Edizione: 1st ed. 2026.
• Descrizione fisica: 1 online resource (669 pages)
• Disciplina: 006.3
• 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
• Altri autori: NarukawaYasuo Domingo-FerrerJosep
• Nota di contenuto: -- Decision making and uncertainty. -- Measurable Closure of a Finitely-Additive Measure Space: An Analysis of Spaces Similar to Stone Spaces. -- Ecological Inference for Electoral Analysis: A Computational Perspective on Human Decision-Making. -- Dimensionality reduction with entropies from f-divergences. -- ChessFormer - Modeling human decision making in chess. -- Simulating Electoral Behavior. -- Multi-criteria Assessment of Clustering Procedures in E-Commerce. -- Automated Decision-Making via Reinforcement Learning from Demonstrations. -- Decision Analysis with the Hurwicz Decision Map under a Set of Interval Pri- ority Weight Vectors. -- An Investigation of Alternative Methods for the Inference of Probabilistic-Fuzzy Systems. -- Triangular Fuzzy Rescaling Distance. -- Data privacy. -- The differentially private d-Choquet integral: an extension of differentially pri- vate Choquet integrals. -- Defenses Against Membership Inference Attacks on Unlearned Data. -- Differential Private Risk Factors Analysis of Polypharmacy. -- Towards Lightning Network Channel Randomization. -- Assessing Privacy Requirements for Controlled Query Evaluation in OBDA. -- Machine learning. -- On Sharma-Mittal divergence-regularized Fuzzy c-Means Clustering and its Alternative. -- Probabilistic-Fuzzy Inference with Piecewise Linear Quantile Regression. -- Positive Unlabeled Classification Methods with Logistic Regression Revisited: An Evaluation of Optimization Techniques. -- Kacper Paczutkowski, Konrad Furma´nczyk Comparing Transformer Models for Stock Selection in Quantitative Trading. -- Data science. -- Decision Rules for Replicating the Visual Learning of the Blackboard in Digital Presentations. -- Dual Focus: Transforming Negatives into Knowledge. -- Testing monotonicity of similarity functions based on embeddings. -- Hybrid Transformer-ANFIS Architecture for Sentiment Analysis. -- Comparing Qualitative Object Descriptors using a Visual Similarity Measure. -- Improving Machine Understanding of Czech Medical Text Using Self-Supervised and Rule-Based Data Augmentation. -- Refining Community Detection in Social Networks: Agglomerative and Divisive Methods with Size Constraints. -- Comparing Graph Neural Networks for Single and Multi-Layer Brain Connec- tivity Analysis in Multiple Sclerosis. -- Enhancing Ultra-Low-Bit Quantization of Large Language Models Through Saliency-Aware Partial Retraining.
• Sommario/riassunto: This book constitutes the refereed proceedings of the 22nd International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2025, held in Valencia, Spain, during September 15-18, 2025. The 28 full papers were carefully reviewed and selected from 58 submissions. They are organized in topical sections as follows: Decision making and uncertainty; Data privacy; Machine learning and Data science.
• Titolo autorizzato: Modeling Decisions for Artificial Intelligence
• ISBN: 3-032-00891-3
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996673180503316
• Lo trovi qui: Univ. di Salerno
• Serie: Lecture Notes in Artificial Intelligence, . 2945-9141 ; ; 15957