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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 A Characterization of Belief Merging Operators in the Regular Horn Fragment of Signed Logic
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    Chapter 2 Bivariate Risk Measures and Stochastic Orders
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    Chapter 3 Stochastic Orders on Two-Dimensional Space: Application to Cross Entropy
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    Chapter 4 Modeling Decisions in AI: Re-thinking Linda in Terms of Coherent Lower and Upper Conditional Previsions
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    Chapter 5 Ensemble Learning, Social Choice and Collective Intelligence
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    Chapter 6 An Unsupervised Capacity Identification Approach Based on Sobol’ Indices
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    Chapter 7 Probabilistic Measures and Integrals: How to Aggregate Imprecise Data
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    Chapter 8 Distorted Probabilities and Bayesian Confirmation Measures
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    Chapter 9 Constructive k-Additive Measure and Decreasing Convergence Theorems
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    Chapter 10 Generalization Property of Fuzzy Classification Function for Tsallis Entropy-Regularization of Bezdek-Type Fuzzy C-Means Clustering
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    Chapter 11 Nonparametric Bayesian Nonnegative Matrix Factorization
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    Chapter 12 SentiRank : A System to Integrate Aspect-Based Sentiment Analysis and Multi-criteria Decision Support
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    Chapter 13 Efficient Detection of Byzantine Attacks in Federated Learning Using Last Layer Biases
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    Chapter 14 Multi-object Tracking Combines Motion and Visual Information
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    Chapter 15 Classifying Candidate Axioms via Dimensionality Reduction Techniques
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    Chapter 16 Sampling Unknown Decision Functions to Build Classifier Copies
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    Chapter 17 Towards Analogy-Based Explanations in Machine Learning
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    Chapter 18 An Improved Bi-level Multi-objective Evolutionary Algorithm for the Production-Distribution Planning System
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    Chapter 19 Modifying the Symbolic Aggregate Approximation Method to Capture Segment Trend Information
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    Chapter 20 Efficiently Mining Gapped and Window Constraint Frequent Sequential Patterns
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    Chapter 21 Aggregating News Reporting Sentiment by Means of Hesitant Linguistic Terms
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    Chapter 22 Decision Trees as a Tool for Data Analysis. Elections in Barcelona: A Case Study
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    Chapter 23 Explaining Misclassification and Attacks in Deep Learning via Random Forests
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    Chapter 24 Fair-MDAV: An Algorithm for Fair Privacy by Microaggregation
Attention for Chapter 11: Nonparametric Bayesian Nonnegative Matrix Factorization
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Chapter title
Nonparametric Bayesian Nonnegative Matrix Factorization
Chapter number 11
Book title
Modeling Decisions for Artificial Intelligence
Published by
Springer, Cham, September 2020
DOI 10.1007/978-3-030-57524-3_11
Book ISBNs
978-3-03-057523-6, 978-3-03-057524-3
Authors

Hong-Bo Xie, Caoyuan Li, Kerrie Mengersen, Shuliang Wang, Richard Yi Da Xu, Xie, Hong-Bo, Li, Caoyuan, Mengersen, Kerrie, Wang, Shuliang, Xu, Richard Yi Da

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