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人工智能/神经网络 The EM algorithm is short for Expectation-Maximization algorithm. It is based on an iterative optimi
The EM algorithm is short for Expectation-Maximization algorithm. It is based on an iterative optimization of the centers and widths of the kernels. The aim is to optimize the likelihood that the given data points are generated by a mixture of Gaussians. The numbers next to the Gaussians give the re ...
数据结构 一个在matlab环境下编写的采用expectation maximization方法计算高斯混合模型的程序。
一个在matlab环境下编写的采用expectation maximization方法计算高斯混合模型的程序。
matlab例程 用matlab语言写的EM(Expectation maximization)算法,用于模式分类
用matlab语言写的EM(Expectation maximization)算法,用于模式分类
软件工程 I present an expectation-maximization (EM) algorithm for principal component analysis (PCA).
I present an expectation-maximization (EM) algorithm for principal
component analysis (PCA).
书籍 Deploying+Wireless+Networks
At the time of writing, and to an extent never seen before, there is an expectation that
almost any information or service that is available through communication systems in
the office or home will be available wherever the user happens to be. This is placing
incredible demands on wireless communica ...
书籍 Wide Area Monitoring, Protection
Today, electric power transmission systems should face many demanding chal-
lenges, which include balancing between reliability, economics, environmental,
and other social objectives to optimize the grid assets and satisfy the growing
electrical demand.
Moreover, the operational environment of trans ...
书籍 Power Electronics And Motor Drives Advances
I am presenting this novel book on advances and trends in power electronics and motor
drives to the professional community with the expectation that it will be given the same
wide and enthusiastic acceptance by practicing engineers, R&D professionals, univer-
sity professors, and even graduate stude ...
书籍 Bishop-Pattern-Recognition-and-Machine-Learning
Pattern recognition has its origins in engineering, whereas machine learning grew
out of computer science. However, these activities can be viewed as two facets of
the same field, and together they have undergone substantial development over the
past ten years. In particular, Bayesian methods have g ...