本资源为上海交通大学ACM班机器学习课程(张伟南授)的全部PPT文件。

IMagineworldClient_ML_V02.00.02.26用于网络管理

经典的虎书高清原版。用ML语言实现，但是比Java，C版本要更加容易理解。

本资源是斯坦福ML公开课笔记的13-15部分。主要内容包括混合高斯模型、混合贝叶斯模型、因子分析模型、主成分分析、奇异值分解、隐含语义索引和独立成分分析等内容。欢迎下载

演化算法的改进算法，一种基于TENT 映射的混合灰狼优化的改进算法

Samsung ML-1640/1641/1645/1660/1666/2240/2241/2245/scx4200/4300/4623/4824/4828免费清零软件2.3完全版

We are delighted to introduce the proceedings of the second edition of the 2017 European Alliance for Innovation (EAI) International Conference on Machine Learning and Intelligent Communications (MLICOM). This conference brought together researchers, developers, and practitioners from around the world who are leveraging and developing machine learning and intelligent communications. The technical program of MLICOM 2017 consisted of 141 full papers in oral presentation sessions at the main conference tracks. The conference tracks were: Main Track, Machine Learning; Track 1, Intelligent Positioning and Navigation; Track 2, Intelligent Multimedia Processing and Security; Track 3, Intelligent Wireless Mobile Network and Security; Track 4, Cognitive Radio and Intelligent Networking; Track 5, Intelligent Internet of Things; Track 6, Intelligent Satellite Communications and Networking; Track 7, Intelligent Remote Sensing, Visual Computing and Three-Dimensional Modeling; Track 8, Green Communication and Intelligent Networking; Track 9, Intelligent Ad-Hoc and Sensor Networks; Track 10, Intelligent Resource Allocation in Wireless and Cloud Networks; Track 11, Intelligent Signal Processing in Wireless and Optical Communications; Track 12, Intelligent Radar Signal Processing; Track 13, Intelligent Cooperative Communications and Networking. Aside from the high-quality technical paper presentations, the technical program also featured three keynote speeches. The three keynote speeches were by Prof. Haijun Zhang from the University of Science and Technology Beijing, China, Prof. Yong Wang from Harbin Institute of Technology, China, and Mr. Lifan Liu from National Instruments China. Coordination with the steering chairs, Imrich Chlamtac, Xuemai Gu, and Gongliang Liu, was essential for the success of the conference. We sincerely appreciate their constant support and guidance. It was also a great pleasure to work with such an excellent Organizing Committee who worked hard to organize

2*2 mimo 系统 的检测算法的matlab仿真，包括ml.zf.mmse等多种算法的实现以及ber性能曲线图

利用大恒DH-HV1351UM-ML数字摄像机设备进行单帧图像采集保存,VC单文档，源代码和程序，大恒DH-HV1351UM-ML数字摄像机usblib和头文件

最大似然方法，亲测有效，对于正在学习最大似然相关方面的同学很有帮助，欢迎下载