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EM-algorithm-of-Matlab-source
- EM算法的Matlab源码 EM算法是机器学习中一个很重要的算法，即期望最大化算法，主要包括以下两个步骤： E步骤：estimate the expected values M步骤：re-estimate parameters-EM algorithm of Matlab source EM algorithm is the machine learning a very important algorithm, which maximize algorithm, mainly
em_ghmm.zip
- EM算法,用于估计参数的一个初级入门实例,EM algorithm, used to estimate the parameters of a primary entry examples
EmEstimate
- 给定独立同分布样本集，用matlab编程实现EM算法进行参数估计-Given the independent and identically distributed sample set, using matlab programming EM algorithm to estimate parameters
EM
- 用于估计未知数据的EM算法，即最大期望算法，用到的地方很多，可用来做同步。-The data used to estimate the unknown EM algorithm, that is the maximum expectation algorithm, used in many places, can be used for synchronization.
em
- em算法是一种估计最优参数的方法 又名最大期望算法-em algorithm is a way to estimate the optimal parameters, also known as the greatest expectations algorithm
EM_1D
- 一维EM算法MATLAB实现，两分支高斯混合模型，均值和方差都不相同。-one dimensino EM algorithm implemented by MATLAB. Estimate the mean and variance of Gaussian Mixture Model with two branches.
bishecode
- 这个程序是用在LDPC加EM中的，自己编的有很好的性能，用来估计依稀未知的参数，比如相偏频偏之类的-This procedure is used in LDPC EM in Canada, his series have good performance, used to estimate the unknown parameters vaguely, such as phase offset of the class of partial
NDA_EM_qpsk
- 采用EM，期望最大方法，估计QPSK调制方式下的信噪比-Using EM, expectation maximization method to estimate the signal to noise ratio under QPSK modulation
EM.tar
- This package uses iterative EM and K-Subspaces methods to estimate multiple subspace structures with all dimensions given.
EMALGORITHM
- In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterati
EM_Algorithm
- EM algorithm is to solute the problem of parameter maximum likelihood estimation by Dempster, Laind, Rubin in 1977. The EM algorithm can estimate maximum likelihood only through incomplete data set. -EM algorithm is to solute the problem of parame
A-Bayesian-Approach
- In this paper, we propose a Bayesian methodology for receiver function analysis, a key tool in determining the deep structure of the Earth’s crust.We exploit the assumption of sparsity for receiver functions to develop a Bayesian deconvolution
em_covariances
- Using SAS/IML : This code uses the EM algorithm to estimate the maximum likelihood (ML) covariance matrix and mean vector in the presence of missing data. This implementation of the EM algorithm or any similar ML approach assumes that the data are
EM
- 该算法利用概率论中最大似然估计实现EM算法，通过对理论图像和统计图像的比较得出结果。-The algorithm uses the probability of the maximum likelihood estimate EM algorithm, the results of the comparison of theoretical imagery and statistical image.
KalmanAll
- 关于卡尔曼滤波的matlab代码，其中包含了滤波的主算法，以及使用EM查找最大可能的估计参数，随机样本-Kalman filter matlab code, which contains the main algorithm filtering, and the use of EM to find the best possible estimate parameters of a random sample, etc.
EM11
- EM算法用于混合高斯模型的估计。算法结构清晰，有详细的中文说明。条理清晰。保证能够运行出来。-EM algorithm is used to estimate the Gaussian mixture model. Clear algorithm structure, a detailed descr iption of the Chinese. Guaranteed to run out.
GMM_EM
- 高斯混合模型EM算法,通过EM算法来进行高斯混合模型的参数估计-Gaussian mixture model EM algorithm parameters by EM algorithm to estimate the Gaussian mixture model
EM
- EM算法是在概率模型中寻找参数的最大拟然估计或最大后验估计的迭代算法-EM algorithm is looking for parameters in the probability model of maximum quasi likelihood estimation or maximum a posteriori estimate of the iterative algorithm
EM
- 用Python写的EM算法 估计男女身高 来验证EM算法的准确性-Written in Python EM algorithm to estimate the height of men and women to verify the accuracy of the EM algorithm
R
- R语言对数据进行Garch-M-Copula建模并利用EM算法估计相应的参数(Garch-m-copula is used to model the data in R language and EM algorithm is used to estimate the corresponding parameters)