Modeling decisions for artificial intelligence : 20th international conference, MDAI 2023, Umeå, Sweden, June 19-22, 2023, proceedings / Vicenç Torra, Yasuo Narukawa, editors.

This book constitutes the refereed proceedings of the 20th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2023, held in Umeå, Sweden, during June19-22,2023. The 17 papers presented in this volume were carefully reviewed and selected from 28 submissions. Additionall...

Full description

Saved in:
Bibliographic Details
Corporate Author: MDAI (Conference) Umeå, Sweden)
Other Authors: Torra, Vicenç (Editor), Narukawa, Yasuo (Editor)
Format: eBook
Language:English
Published: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Edition:1st ed. 2023.
Series:Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science ; 13890.
LNCS sublibrary. Artificial intelligence.
Subjects:
Online Access:Click for online access
Table of Contents:
  • Logic Aggregators and Their Implementations
  • Decision making and uncertainty
  • Multi-Target Decision Making under Conditions of Severe Uncertainty
  • Constructive set function and extraction of a k-dimensional element
  • Coherent upper conditional previsions defined by fractal outer measures to represent the unconscious activity of human brain
  • Discrete chain-based Choquet-like operators
  • On a new generalization of decomposition integrals
  • Bipolar OWA operators with continuous input function
  • Machine Learning and data science
  • Cost-constrained group feature selection using information theory
  • Conformal Prediction for Accuracy Guarantees in Classification with Reject Option
  • Adapting the Gini's index for solving Predictive Tasks
  • Bayesian logistic model for positive and unlabeled data
  • A goal-oriented specification language for reinforcement learning
  • Improved Spectral Norm Regularization for Neural Networks
  • Preprocessing Matters: Automated Pipeline Selection for Fair Classification
  • Predicting Next Whereabouts using Deep Learning
  • A Generalization of Fuzzy c-Means with Variables Controlling Cluster Size
  • Data privacy
  • Local Differential Privacy Protocol for Making Key{Value Data Robust against Poisoning Attacks
  • Differential Privacy through Noise-Graph Addition.