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Modeling Decisions for Artificial Intelligence

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Cover of 'Modeling Decisions for Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 General Chebyshev Type Inequality for Seminormed Fuzzy Integral
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    Chapter 2 Convergence in Measure Theorems of the Choquet Integral Revisited
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    Chapter 3 Risk-Sensitive Markov Decision Under Risk Constraints with Coherent Risk Measures
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    Chapter 4 Set-Based Extended Functions
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    Chapter 5 Fuzzy Confirmation Measures (a)symmetry Properties
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    Chapter 6 Fake News Detection in Microblogging Through Quantifier-Guided Aggregation
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    Chapter 7 Individual, Coalitional and Structural Influence in Group Decision-Making
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    Chapter 8 Betweenness Spaces: Morphism and Aggregation Functions
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    Chapter 9 On Idempotent n -ary Uninorms
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    Chapter 10 On Aggregation of Risk Levels Using T-Conorms
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    Chapter 11 Towards an Adaptive Defuzzification: Using Numerical Choquet Integral
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    Chapter 12 Uninorms and Nullnorms and their Idempotent Versions on Bounded Posets
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    Chapter 13 Derivative for Discrete Choquet Integrals
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    Chapter 14 A Non-Negative Matrix Factorization for Recommender Systems Based on Dynamic Bias
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    Chapter 15 Forecasting Water Levels of Catalan Reservoirs
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    Chapter 16 A Predictive Model for MicroRNA Expressions in Pediatric Multiple Sclerosis Detection
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    Chapter 17 On Collaborative Filtering with Possibilistic Clustering for Spherical Data Based on Tsallis Entropy
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    Chapter 18 Programmed Inefficiencies in DSS-Supported Human Decision Making
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    Chapter 19 Multilayer Identification: Combining N -Grams, TF-IDF and Monge-Elkan in Massive Real Time Processing
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    Chapter 20 An Evidential Clustering for Collaborative Filtering Based on Users’ Preferences
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    Chapter 21 Analysing the Impact of Rationality on the Italian Electricity Market
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    Chapter 22 Analysis of Abstention in the Elections to the Catalan Parliament by Means of Decision Trees
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    Chapter 23 Making Decisions with Knowledge Base Repairs
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    Chapter 24 k -Medoids Clustering Based on Kernel Density Estimation and Jensen-Shannon Divergence
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    Chapter 25 Biases Affecting Human Decision Making in AI-Supported Second Opinion Settings
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    Chapter 26 Applications of Different CNN Architectures for Palm Vein Identification
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    Chapter 27 An Infinite Replicated Softmax Model for Topic Modeling
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    Chapter 28 Estimating Optimal Values for Intentional-Value-Substitution Learning
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    Chapter 29 Efficient Near-Optimal Variable-Size Microaggregation
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    Chapter 30 Mitigating the Curse of Dimensionality in Data Anonymization
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Title
Modeling Decisions for Artificial Intelligence
Published by
Springer International Publishing, October 2019
DOI 10.1007/978-3-030-26773-5
ISBNs
978-3-03-026772-8, 978-3-03-026773-5
Editors

Torra, Vicenç, Narukawa, Yasuo, Pasi, Gabriella, Viviani, Marco

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