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Artificial Intelligence Applications in Information and Communication Technologies

Overview of attention for book
Cover of 'Artificial Intelligence Applications in Information and Communication Technologies'

Table of Contents

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    Book Overview
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    Chapter 1 A Metaheuristic for Optimizing the Performance and the Fairness in Job Scheduling Systems
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    Chapter 2 Hybrid ACO and Tabu Search for Large Scale Information Retrieval
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    Chapter 3 Hosting Clients in Clustered and Virtualized Environment: A Combinatorial Optimization Approach
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    Chapter 4 On the Application of Artificial Intelligence Techniques to Create Network Intelligence
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    Chapter 5 A Statistical Framework for Mental Targets Search Using Mixture Models
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    Chapter 6 Variational Learning of Finite Inverted Dirichlet Mixture Models and Applications
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    Chapter 7 A Fully Bayesian Framework for Positive Data Clustering
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    Chapter 8 Applying Information Extraction for Abstracting and Automating CLI-Based Configuration of Network Devices in Heterogeneous Environments
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    Chapter 9 MKMSIS: A Multi-agent Knowledge Management System for Industrial Sustainability
Attention for Chapter 5: A Statistical Framework for Mental Targets Search Using Mixture Models
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