搜索资源列表
em-c++
- 本文介绍了用c++实现em算法，非常有用！
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.zip
- EM算法简明教程 用于高斯分布隐马尔可夫模型的参数估计,Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models
EM-FEM
- 用VC写得计算电磁学的有限元分析程序，供参考-Written by VC computational electromagnetics finite element analysis procedure, for reference
Puma-EM-0.4.6.tar
- 这个软件包(C++)是我寻找电磁学代码无意中找到了，功能相当强大（并行计算，快速多极子等）。缺点是安装相当麻烦，需要若干个其他软件包。我在Fedora Core9下编译其中所需blitz++时出错，在 ubuntu下可以所有均编译通过，运行时出现一个错误，我找不到原因（本人水平有限），但从学习电磁学有关算法／程序设计来说，已经是相当了不起的开源软件了。parallel unified multipole algorithm for Electromagnetics (Puma-EM). A
Kalman_toolbox
- Kalman filter toolbox written by Kevin Murphy,See learning_demo.m for a demo of parameter estimation using EM.-Kalman filter toolbox written by Kevin Murphy, See learning_demo.m for a demo of parameter estimation using EM.
Atenna
- 天线电磁场仿真MATLAB模型，是天线计算中的不错教程-Atenna and EM modeling with matlab
EM
- 这是用matlab实现em算法的程序，简单，易懂，共同学习噢。-EM
EMAlgorithm
- 上数据挖掘课的课件，是EM算法的，其中还包括最大似然值，最大似然估计，以及cluster-data mining,EM Algorithm ,Likelihood, Mixture Models and Clustering
emforgaussian
- em algorithm for gaussion -em for gaussion
em-algorithm
- truncated em-algorithm
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-and-antenna-field
- 该文件解决了电磁场和天线问题计算当中的近远场转换的问题，它也可以应用在一般散射问题的求解中。-this file contains an algorithm that could solve problems within the EM and antenna near to far field questions. Also, it could be used in general scattering problems.
em
- EM算法，用于实现数据集的聚类，这个是已经改进了的EM算法通过统计找到中心点再进行迭代。-EM algorithm for clustering data sets, this is the EM algorithm has been improved through the statistics to find the center of the re-iteration.
Em
- 使用k均值算法计算聚类的重心，并用EM算法计算各聚类的参数-Using k-means clustering algorithm to calculate the center of gravity, and using EM algorithm to calculate the parameters of each cluster
EM
- 自己编写的期望最大化（EM）算法的MATLAB实现，里面有较为运行方法和程序说明，对新手有很好的帮助- I have written the expectation-maximization (EM) algorithm in MATLAB, which has run more methods and procedures described, there is a good help for the novice
EM-MCE
- 信号统计建模，MCE算法,EM算法，模式识别-Signal statistical modeling, MCE algorithm, EM algorithm, pattern recognition
em-algorithm
- em算法论文 EM算法为有限混合模型的极大似然估计提供了一个标准框架。本文简单推 导了有限混合高斯分布的EM算法，并针对其收敛速度慢的缺点设计了一种有效 选取参数初始值的方法，数值实验表明，该方法有助于EM算法以较快的速度在 参数真值附近收敛。-em algorithm papers
EM
- EM算法一种有效的优化方法，在机器学习问题中有很重要的影响(EM algorithm is an effective optimization method and has important influence on machine learning problems.)
em
- 在统计计算中，最大期望（EM）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性变量。最大期望算法经常用在机器学习和计算机视觉的数据聚类（Data Clustering）领域。(In statistical computation, the maximum expectation (EM) algorithm is an algorithm to find the maximum likelihood estimation or the maximum