Machine Learning for Wireless Communications and Networking

Machine Learning for Wireless Communications and Networking

An Introduction

Chen, Kwang-Cheng

Elsevier Science & Technology

01/2029

375

Mole

Inglês

9780323912389

Pré-lançamento - envio 15 a 20 dias após a sua edição

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1. Basic Concepts of Machine Learning
2. Statistical Inference
3. Regression
4. Classification
5. Deep Learning and Big Data Driven Methodology
6. Federated Learning
7. Generative Adversarial Network
8. Reinforcement Learning
9. Wireless Robotic Communications: Wireless Networked Multi-Agent Systems
10. Naive Bayesian, Decision Tree, and Random Forest
11. Bayesian Networks
12. Future Machine Learning Based Network Architecture
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Machine learning; artificial intelligence; wireless communications; wireless networks