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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 Provenance and Privacy
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    Chapter 2 Comparison of Risk Averse Utility Functions on Two-Dimensional Regions
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    Chapter 3 Symmetrization Methods for Aggregation Functions
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    Chapter 4 Event-Based Transformations of Capacities
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    Chapter 5 Pan-Integrals Based on Optimal Measures
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    Chapter 6 Orness and Cardinality Indices for Averaging Inclusion-Exclusion Integrals
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    Chapter 7 $$L_1$$ -space for Sugeno Integral
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    Chapter 8 An Adaptation of the ML-kNN Algorithm to Predict the Number of Classes in Hierarchical Multi-label Classification
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    Chapter 9 On Fuzzy Clustering for Categorical Multivariate Data Induced by Polya Mixture Models
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    Chapter 10 Comparison of Fuzzy Co-clustering Methods in Collaborative Filtering-Based Recommender System
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    Chapter 11 Differentially Private Data Sets Based on Microaggregation and Record Perturbation
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    Chapter 12 A Methodology to Compare Anonymization Methods Regarding Their Risk-Utility Trade-off
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    Chapter 13 Session-Based Network Intrusion Detection Using a Deep Learning Architecture
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    Chapter 14 A Hybrid Model of ARIMA and ANN with Discrete Wavelet Transform for Time Series Forecasting
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    Chapter 15 A Novel Hybrid Model for Activity Recognition
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    Chapter 16 Constructing Document Vectors Using Kernel Density Estimates
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    Chapter 17 On Cell Detection System with User Interaction
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    Chapter 18 A Fuzzy Colour Model Sensitive to the Context: Study Cases Using PRAGR and Logics
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    Chapter 19 Joint Subjective Opinions
Attention for Chapter 5: Pan-Integrals Based on Optimal Measures
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Chapter title
Pan-Integrals Based on Optimal Measures
Chapter number 5
Book title
Modeling Decisions for Artificial Intelligence
Published by
Springer, Cham, October 2017
DOI 10.1007/978-3-319-67422-3_5
Book ISBNs
978-3-31-967421-6, 978-3-31-967422-3
Authors

Jun Li, Yao Ouyang, Minhao Yu

View on publisher site

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