搜索资源列表
em
- 基于EM算法的模型聚类的研究及应用，GMM高斯混合模型-EM-based clustering algorithm and its application model, GMM Gaussian mixture model
EM_Algorithm
- em算法的matlab实现，简单适合入门，可以参考-em algorithm matlab implementation, simple for entry, refer to
ros-em
- em算法运用于有散射体的信道模型下实现参数估计（los距离）-em algorithm applied to a scattering channel model to achieve parameter estimation (los distance)
fit_mix_2D_gaussian
- fit_mix_2D_gaussian - fit parameters for a 2D mixed-gaussian distribution using EM algorithm format: [u,covar,t,iter] = fit_mix_2D_gaussian( X,M ) input: X - input samples, Nx2 vector M - number of gaussians which are assumed to compose the
EM
- EM算法作为机器学习的经典算法，本算法为EM源程序，陪带实验-EM algorithm as the classic machine learning algorithms, the source of the EM algorithm, to accompany with the experimental
Em_Alpha
- em 算法下加入alpha噪声的通信系统的性能检测程序-em algorithm alpha noise was added performance of the communication system testing procedures
EM-source
- 一个高斯混合模型，用EM算法进行聚类的例子！-A Gaussian mixture model, EM algorithm for clustering with an example!
EM_GM
- EM算法和高斯模型的，用Matlab编程工具编写，实现功能快速-EM algorithm and the Gaussian model, using Matlab programming tools to write, to achieve rapid function
EM
- 介绍EM算法原理及其实现，比较基础，常用于求解高斯混合模型-The book introduces the EM algorithm
EM
- 求解参数估计的常用算法——EM，即期望最大化算法，用于代替样本量不完全时的极大似然估计算法。-Common algorithm for solving parameter estimation- EM, expectation maximization algorithm is used to replace the sample size is not completely at the maximum likelihood estimation algorithm.
EM-like-algorithm-tracking
- 改进的meanShift算法，能够处理对象的旋转角度发生变化时的跟踪问题-An adaptive tracking algorithm,it s an improved MeanShift algorithm,can hanlde roation of the object during the tracking process
Transition_Matrix_MLE
- MATLAB code that simulates our proposed Max Likelihood Estimation of P matrix using EM algorithm
EM-agorithm
- em算法的代码，以及K-means算法代码-em algorithm code, and the K-means algorithm code
em
- em算法的一些重要程序，值得下载参考学习-some of the important procedures em algorithm, it is worth to download the reference
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-for-HMM-Multivariate-Gaussian-processes
- Expectation-Maximization algorithm for a HMM with Multivariate Gaussian measurement Usage ------- [logl , PI , A , M , S] = em_ghmm(Z , PI0 , A0 , M0 , S0 , [options])
EM
- 一款关于EM算法的基于C的程序，大家可以共同探讨！-EM algorithm is based on a C program, we can discuss!
EM-algorithem
- 自己小结的期望最大化算法（EM算法），很详细。-Own summary of the expectation-maximization algorithm (EM algorithm), in great detail.
EM
- EM algorithm is the machine learning a very important algorithm, is expected to maximize algorithm
Backup-EM-presentation
- EM算法，简单使用，可以直接使用，稍作修改更佳-EM Algorithm