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Optimization in Machine Learning and Applications

Overview of attention for book
Optimization in Machine Learning and Applications
Springer Singapore

Table of Contents

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    Book Overview
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    Chapter 1 Use of Artificial Neural Network for Abnormality Detection in Medical Images
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    Chapter 2 Deep Learning Techniques for Crime Hotspot Detection
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    Chapter 3 Optimization Techniques for Machine Learning
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    Chapter 4 A Package Including Pre-processing, Feature Extraction, Feature Reduction, and Classification for MRI Classification
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    Chapter 5 Predictive Analysis of Lake Water Quality Using an Evolutionary Algorithm
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    Chapter 6 A Survey on the Latest Development of Machine Learning in Genetic Algorithm and Particle Swarm Optimization
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    Chapter 7 A Hybridized Data Clustering for Breast Cancer Prognosis and Risk Exposure Using Fuzzy C-means and Cohort Intelligence
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    Chapter 8 Development of Algorithm for Spatial Modelling of Climate Data for Agriculture Management for the Semi-arid Area of Maharashtra in India
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    Chapter 9 A Survey on Human Group Activity Recognition by Analysing Person Action from Video Sequences Using Machine Learning Techniques
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    Chapter 10 Artificial Intelligence in Journalism: A Boon or Bane?
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    Chapter 11 The Space of Artificial Intelligence in Public Relations: The Way Forward
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    Chapter 12 Roulette Wheel Selection-Based Computational Intelligence Technique to Design an Efficient Transmission Policy for Energy Harvesting Sensors
Attention for Chapter 12: Roulette Wheel Selection-Based Computational Intelligence Technique to Design an Efficient Transmission Policy for Energy Harvesting Sensors
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