电子科技大学：《机器学习 Machine Learning》课程教学资源（课件讲稿）第7讲 其他分类方法 Classifiers for More

1 最近邻法 2 k-近邻法 3 近邻法快速算法 4 剪辑近邻法与压缩近邻法

理解线性判别分析 了解多分类学习 理解对数几率回归 掌握线性回归 了解类别不平衡问题

为何研究机器学习 什么是机器学习 机器学习的主要方法 本课程的主要内容及参考资料

What is SSL? The Architecture of SSL How Does SSL work？ How to use the SSL in your security architecture Conclusions

• What is AI • Why AI in Wireless Networks • Reinforcement Learning at Mobile Network Edge • Case Study - SMART Handoff Policy in mmWave HetNets - Multi-Agent RL-Based Content Local Caching

• Chap 10: Introduction to Network Coding • Chap 11: Network Coding in Wireless Networks • Chap 12: A Practical Network Coding System

• Introduction to Traffic Engineering • Historical and Present Traffic Engineering Approaches • Recommendations for Internet Traffic Engineering • Contemporary TE Practices in Operational IP Networks

• Introduction • Economic principles • Traffic classes • Time scales • Mechanisms • Some open problems on traffic management

• Overview of QoS in IP networks • Integrated Service model (IntServ) • Resource Reservation Protocol (RSVP) • Differentiated Services model (DiffServ)