Yuhan Kang: Mean Field Guided Machine Learning, Gebunden

Klappentext

Preface.- Chapter 1 Overview of Mean Field Theory and Machine Learning.- Chapter 2 Mean Field Game and Machine Learning Basis.- Chapter 3 Opinion Evolution in Social Networks: Use Generative Adversarial Networks to Solve Mean Field Game.- Chapter 4 Data Augmentation using Mean Field Games.- Chapter 5 Mean Field Game Guided Deep Reinforcement Learning.- Chapter 6 Incentive Mechanism Design in Satellite-Based Federated Learning using Mean Field Evolutionary Approach.- Chapter 7 Client Selection in Hierarchical Federated Learning with Mean Field Game.- Chapter 8 Evolutionary Neural Architecture Search with Mean Field Game Selection Mechanism.- References.- Index.