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Modeling decisions for artificial intelligence = 19th International Conference, MDAI 2022, Sant Cugat, Spain, August 30 - September 2, 2022 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modeling decisions for artificial intelligence/ edited by Vicenç Torra, Yasuo Narukawa.
其他題名:	19th International Conference, MDAI 2022, Sant Cugat, Spain, August 30 - September 2, 2022 : proceedings /
其他題名:	MDAI 2022
其他作者:	Torra, Vicenç.
團體作者:	MDAI (Conference)
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xviii, 203 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Congresses. - Mathematical models -
電子資源:	https://doi.org/10.1007/978-3-031-13448-7
ISBN:	9783031134487

Modeling decisions for artificial intelligence = 19th International Conference, MDAI 2022, Sant Cugat, Spain, August 30 - September 2, 2022 : proceedings /
Modeling decisions for artificial intelligence19th International Conference, MDAI 2022, Sant Cugat, Spain, August 30 - September 2, 2022 : proceedings /[electronic resource] :MDAI 2022edited by Vicenç Torra, Yasuo Narukawa. - Cham :Springer International Publishing :2022. - xviii, 203 p. :ill., digital ;24 cm. - Lecture notes in computer science,134081611-3349 ;. - Lecture notes in computer science ;13408..

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.

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.

ISBN: 9783031134487

Standard No.: 10.1007/978-3-031-13448-7doiSubjects--Topical Terms:

838688
Artificial intelligence
--Mathematical models--Congresses.

LC Class. No.: Q334 / .M33 2022

Dewey Class. No.: 006.3

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