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
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
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