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Optimization and Learning

Overview of attention for book
Cover of 'Optimization and Learning'

Table of Contents

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    Book Overview
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    Chapter 1 Multi-Agent Reinforcement Learning Tool for Job Shop Scheduling Problems
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    Chapter 2 Evolving a Deep Neural Network Training Time Estimator
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    Chapter 3 Automatic Structural Search for Multi-task Learning VALPs
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    Chapter 4 Optimizing the Performance of an Unpredictable UAV Swarm for Intruder Detection
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    Chapter 5 Demystifying Batch Normalization: Analysis of Normalizing Layer Inputs in Neural Networks
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    Chapter 6 Learning Variables Structure Using Evolutionary Algorithms to Improve Predictive Performance
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    Chapter 7 Container Demand Forecasting at Border Posts of Ports: A Hybrid SARIMA-SOM-SVR Approach
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    Chapter 8 Intelligent Electric Drive Management for Plug-in Hybrid Buses
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    Chapter 9 A Heuristic Algorithm for the Set k-Cover Problem
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    Chapter 10 Computational Intelligence for Evaluating the Air Quality in the Center of Madrid, Spain
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    Chapter 11 Intelligent System for the Reduction of Injuries in Archery
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    Chapter 12 Learning Patterns for Complex Event Detection in Robot Sensor Data
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    Chapter 13 Comparison Between Stochastic Gradient Descent and VLE Metaheuristic for Optimizing Matrix Factorization
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    Chapter 14 A Capacity-Enhanced Local Search for the 5G Cell Switch-off Problem
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    Chapter 15 Clustering a 2d Pareto Front: P-center Problems Are Solvable in Polynomial Time
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    Chapter 16 A Distributed Digital Object Architecture to Support Secure IoT Ecosystems
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    Chapter 17 Checking the Difficulty of Evolutionary-Generated Maps in a N-Body Inspired Mobile Game
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    Chapter 18 A Framework to Create Conversational Agents for the Development of Video Games by End-Users
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    Chapter 19 Breast Cancer Diagnostic Tool Using Deep Feedforward Neural Network and Mother Tree Optimization
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    Chapter 20 A Mathematical Model for Three-Dimensional Open Dimension Packing Problem with Product Stability Constraints
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    Chapter 21 Designing a Flexible Evaluation of Container Loading Using Physics Simulation
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    Chapter 22 Preventing Overloading Incidents on Smart Grids: A Multiobjective Combinatorial Optimization Approach
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    Chapter 23 Analysis of Data Generated by an Automated Platform for Aggregation of Distributed Energy Resources
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Mentioned by

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4 X users
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Citations

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15 Mendeley
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Title
Optimization and Learning
Published by
Springer International Publishing, January 2020
DOI 10.1007/978-3-030-41913-4
ISBNs
978-3-03-041912-7, 978-3-03-041913-4
Editors

Bernabé Dorronsoro, Patricia Ruiz, Juan Carlos de la Torre, Daniel Urda, El-Ghazali Talbi

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 20%
Student > Ph. D. Student 3 20%
Student > Postgraduate 2 13%
Researcher 2 13%
Professor 1 7%
Other 0 0%
Unknown 4 27%
Readers by discipline Count As %
Computer Science 5 33%
Engineering 2 13%
Business, Management and Accounting 1 7%
Physics and Astronomy 1 7%
Mathematics 1 7%
Other 0 0%
Unknown 5 33%