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Modeling Decisions for Artificial Intelligence

Overview of attention for book
Cover of 'Modeling Decisions for Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Classifying large graphs with differential privacy
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    Chapter 2 Extremal Completions of Triangular Norms Known on a Subregion of the Unit Interval
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    Chapter 3 The Notion of Pre-aggregation Function
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    Chapter 4 Weighted Quasi-Arithmetic Mean on Two-Dimensional Regions and Their Applications
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    Chapter 5 A Comparison of the GAI Model and the Choquet Integral w.r.t. a k -ary Capacity
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    Chapter 6 Estimating Unknown Values in Reciprocal Intuitionistic Preference Relations via Asymmetric Fuzzy Preference Relations
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    Chapter 7 Handling Risk Attitudes for Preference Learning and Intelligent Decision Support
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    Chapter 8 Representation of Ordinal Preferences over Infinite Products
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    Chapter 9 Spherical k -Means++ Clustering
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    Chapter 10 On Possibilistic Clustering Methods Based on Shannon/Tsallis-Entropy for Spherical Data and Categorical Multivariate Data
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    Chapter 11 A Unified Theory of Fuzzy c -Means Clustering Models with Improved Partition
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    Chapter 12 Effective MVU via Central Prototypes and Kernel Ridge Regression
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    Chapter 13 Cooperative Multi-agent Learning in a Large Dynamic Environment
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    Chapter 14 Optimized and Parallel Query Processing in Similarity-Based Databases
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    Chapter 15 An Evaluation of Edge Modification Techniques for Privacy-Preserving on Graphs
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    Chapter 16 Co-utile Collaborative Anonymization of Microdata
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    Chapter 17 Generalization-Based k -Anonymization
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    Chapter 18 The Complexity of 3-Valued Łukasiewicz Rules
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    Chapter 19 Information Theory for Subjective Logic
Attention for Chapter 1: Classifying large graphs with differential privacy
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