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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).
生物技术 This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise
This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise [1]. The inference problem is solved by ML-II, i.e. the sources are found by integration over the source posterior and the noise covariance and mixing matrix are found by maximization of the marginal ...
书籍 Utility Maximization in Nonconvex Wireless Systems
Once upon a time, cellular wireless networks provided two basic services: voice
telephony and low-rate text messaging. Users in the network were separated
by orthogonal multiple access schemes, and cells by generous frequency reuse
patterns [1]. Since then, the proliferation of wireless services, fi ...