搜索资源列表
EM算法for cluster
- 一个大家都在寻找的em算法，matlab实现-one we are looking for the em algorithm, achieving Matlab
EM
- EM算法详解！！ EM算法详解
Gentle++Tutorial+of+the+EM++Algorithm
- 详细介绍EM算法的好书！！！！PDF格式
EM算法
- 介绍EM算法相关信息，详细介绍了EM算法的过程
EM-Algorithm.zip
- 最大期望值算法以及在混合高斯模型的应用的详细介绍,Expectations algorithm and the largest mixed-Gaussian model in the details of the application
EM
- EM算法介绍及Matlab演示代码(一维和多维高斯混合模型学习算法)-Introduction of EM algorithm and Matlab codes that implement the algorithm
EM
- EM算法Matlab实现。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）-EM algorithm by Matlab. Maximum expected (EM) algorithm is probabilistic (probabilistic) model to find maximum likelihood parameter estimation or m
svm-EM
- SVM(支持向量机）和EM（最大熵）文本分类算法，压缩包中包括了测试文本（环境类和计算机类），词典，停用词表等。-SVM (support vector machine) and EM (maximum entropy) text classification algorithm, compressed package includes test text (environmental and computer), dictionary, thesaurus, such as disabled.
遗传算法用于从EM雷达数据提取地下古墓遗迹定位信息.r
- 神经网络\遗传算法用于从EM雷达数据提取地下古墓遗迹定位信息- The nerve network \ heredity algorithm uses in from the EM radar data to withdraw the underground ancient grave vestige localization information
EM.tar
- 一个用EM算法的源程序，用来对数据进行分类，非常经典-A source using EM algorithm for data classification, very classic
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
meme_3.5.4
- EM算法的改进，在此基础上生物信息学的常用工具-EM algorithm, on the basis of commonly used bioinformatics tools
EM
- EM算法，详细介绍了EM算法的应用，对研究EM算法的人来说有很大的帮助。-EM algorithm, described in detail the application of EM algorithm
PQRbayes
- 从ML-EM 重建算法入手，分析了贝叶斯模型的一些关键点，针对采用传统方法求解MAP问题的局限性，提出一种用于正电子成像的贝叶斯神经网络重建算法，为了保留边缘信息，引入了二进制的保边缘变量，并应用共轭神经网络求解，模拟的重建结果表明，应用这种算法可以得到比ML-EM 算法更好的重建图像@-From the ML-EM reconstruction algorithm start with an analysis of Bayesian model some of the key points,
EM
- EM算法的一些资料，我自己搜集的，希望有所帮助！-EM algorithm with some information!
EMAlgorithm
- EM算法 EM算法 EM算法-EMAlgorithmEMAlgorithmEMAlgorithmEMAlgorithm
em聚类
- em算法指的是最大期望算法（Expectation Maximization Algorithm，又译期望最大化算法），是一种迭代算法，用于含有隐变量（latent variable）的概率参数模型的最大似然估计或极大后验概率估计。(Expectation Maximization Algorithm use for clustering)
em
- 机械学习算法，用于求解OFDM系统中基于循环前缀的定时同步的迭代方法(Mechanical learning algorithm for solving the iterative method of timing synchronization based on cyclic prefix in OFDM system)
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)