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em
- 该代码实现了著名的EM算法，清晰地演绎了E与M步的实现过程，相信对初学者非常有益。-The function of this code is to implement the famous EM algorithm.The E and M proceduce has been implemented indepently and clearly. It is very useful for beginners.
mixture-Gauss-model-EM-matlab
- EM算法计算混合高斯模型，可以计算三个参数。-Gaussian mixture model EM algorithm, three parameters can be calculated.
EM
- 利用Matlab编程验证用EM算法估计的高斯混合模型的相关参数的性能。-Validate the use of Matlab programming estimated using EM algorithm for Gaussian mixture model parameters related to the performance.
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-algorithm-for-gmm
- 基于高斯混合模型(GMM)的em算法，给出了其matlab实现-em algorithm for GMM
EM
- EM数值算法 MATLAB程序 用于高斯混合模型(numerical algorithms)
EM算法
- 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 statistical calculation, the expectation maximization (EM) algorithm in probability (probabilistic) maximu
em
- 分类方法，最大期望值算法，利用概率进行分类(The classification method, EM algorithm, is classified by probability)
em
- em算法介绍:EM算法有很多的应用，最广泛的就是GMM混合高斯模型、聚类、HMM等等(This is the EM algorithm using JAVA, easy to understand, easy to use and helpful for understanding the EM algorithm)
6.聚类和EM算法
- 聚类和EM算法实例，包括线性分类和非线性分类，线性回归和非线性回归(Examples of clustering and EM algorithm include linear classification and nonlinear classification, linear regression and nonlinear regression)
EM
- EM算法的简单实现，EM算法是机器学习中的一个重要的基础算法(Simple implementation of EM algorithm, EM is an important basic algorithm in machine learning)
18.1.EM
- EM算法代码实践，使用python实现。(EM algorithm code practice, based on Python implementation)
EM Algorithm
- 通过使用EM算法来实现混合高斯的分类,有比较好的效果，很直观的可以展示，对于初学者很有帮助(Through the use of EM algorithm to achieve the classification of mixed Gaussian, have better results, very intuitive to display, helpful for beginners)
EM算法之三硬币模型：matlab编程实现
- EM算法是人工智能十大算法之一。三硬币模型算例出自李航的《统计学习方法》，书中给出了计算结果和简单解说，对于不是学数学的看这种复杂的公式看不懂，我也看了很久才看懂。我用matlab编写的代码，并作了详细的注释。(EM algorithm is one of the ten major algorithms of artificial intelligence. The three coin model is derived from Li Hang's statistical learning
EM学习算法
- 该文件主要包含了Matlab条件下开发的EM算法，主要用于机器视觉学习。(This document mainly includes the EM algorithm developed under the condition of Matlab, which is mainly used for machine vision learning.)
EM-X抽奖程序
- 一个EM-X抽奖程序,基于lua的程序源码(A EM-X lottery program, Lua based program source code)
EM
- EM 算法的MATLAB编程，以一个示例说明EM编程过程(MATLAB programming of EM algorithm)
EM
- EM算法，matlab编程，人工智能领域，机器学习(EM algorithm, matlab programming, artificial intelligence field, machine learning.)
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算法_代码
- 这是用python编写的EM算法的实现程序，测试过可以运行。(This is written in Python EM algorithm implementation procedures, tested can run.)