搜索资源列表
CLDA
- Latent Dirichlet Allocation程序，基于EM算法。能得到alpha和beta参数-Latent Dirichlet Allocation program, based on the EM algorithm. Alpha and beta parameters can be derived
ImageSeg_EM
- EM算法实现，对于需要的朋友来说还不错的，-EM algorithm, for a friend in need is also good,
Density_Estimation
- 分别采用GMM和KDE对Iris数据集进行密度建模，并进行对比。通过EM算法来确定GMM参数，通过交叉验证来确定K值-GMM and KDE respectively Iris data set of density modeling, and compared. GMM by EM algorithm to determine the parameters of K determined by the value of cross-validation
LDA-Code
- 主要是LDA 包的程序 其中有KL，EM算法和一些推论-The program is mainly LDA package including KL, EM algorithm, and some inferences
mixturecode2
- 自适应的选择高斯混合模型个数，并用EM算法估计参数-Adaptive selection of the number of Gaussian mixture model and estimated parameters using EM algorithm
EM_GM_fast
- EM算法拟合GMM函数，有英文的备注说明，比较容易理解-EG GMM
GMM
- 这里介绍了一个利用了EM算法得到的GMM训练c代程序-This is a useful file of GMM code
cd4ef1.ZIP
- 基于EM算法的低剂量CT图像去噪EM algorithm based on low dose CT image denoising-EM algorithm based on low dose CT image denoising
emgm
- EM算法用于高斯混合模型，实现数据的精确分类-The EM algorithm for Gaussian mixture model, the exact classification of the data
C_exponential
- 随机偏微分方程的数值模拟，EM算法， 及其收敛阶分析-numerical simulation of stochastic partial differential equations
1
- EM算法MATLAB实现，有中文注释，详细描述了具体开发的案例。-EM algorithm in MATLAB, Chinese notes, detailed descr iption of the specific case of the development.
nbem.tar
- Naive bayes classifer的具体实现，使用多模态事件模型表示，提供EM算法用于半监督和无监督学习，最大似然估计用于有监督学习-The Naive bayes classifer implementation, using a multi-modal event model EM algorithm for semi-supervised and unsupervised learning, maximum likelihood estimation for supervised
EM
- 统计学中，基于matlab的EM（期望最大化）算法代码实现，可以设定输入和调整阈值-Expectation-maximization algorithm based on matlab, in which one can set input value and adjust threshold
embino_nostd
- EM 算法-估计binomial distribution的参数-EM algorithm (given the binomial distribution)
EMdemo
- EM算法在神经网络中的应用，可以用来进行视频数据分类。-In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Wil
em
- 在统计计算中，最大期望（EM）算法是在概率（probabilistic）模型中寻找参数最大似然估计或者最大后验估计的算法，其中概率模型依赖于无法观测的隐藏变量（Latent Variable）。最大期望经常用在机器学习和计算机视觉的数据聚类（Data Clustering）领域。 -In the statistical calculations, the maximum expected (EM) algorithm parameter maximum likelihood estimate
EM
- EM最大期望算法：算法是在概率模型中寻找参数最大似然估计或者最大后验估计的算法，其中概率模型依赖于无法观测的隐藏变量。最大期望经常用在机器学习和计算机视觉的数据聚类领域。-EM algorithm
CPP-UI_EM_5
- 用Visual studio 2010 开发的EM 算法-EM algorithm is developed using Visual studio 2010
em_coin
- 适合初学者的小例子，用em算法估计两枚硬币抛出正面概率，内有一个pdf，一个m文件-Small example for em algorithm beginners, estimating two coins thrown_positive _probability. a pdf file , an m-file
liu
- 状态模型的极大似然估计，使用EM算法，以及卡尔曼滤波。-This supplementary note discusses the maximum likelihood esti-mation of state space models using Expectation-Maximization (EM) algorithm and bootstrap procedure for statistical inference. A Matlab program scr ipt impleme