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Description: 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
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Size: 76800 |
Author: 吴子杰 |
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Description: 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
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Size: 4096 |
Author: ge |
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Description: MODEL-BASED FINITE MIXTURES USING THE EM ALGORITHM的matlab实现-MODEL-BASED FINITE MIXTURES USING THE EM A the Matlab achieve LGORITHM
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Size: 2048 |
Author: 黄风 |
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Description: 经典的EM算法程序，用于正态混合分布模型的参数估计,希望能够对大家有帮助！-classic EM algorithm for the Normal Distribution hybrid model parameter estimation, we hope to be able to help!
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Size: 321536 |
Author: ljy |
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Description: The EM algorithm is short for Expectation-Maximization algorithm. It is based on an iterative optimization of the centers and widths of the kernels. The aim is to optimize the likelihood that the given data points are generated by a mixture of Gaussians. The numbers next to the Gaussians give the relative importance (amplitude) of each component.-The EM algorithm is short for Expectation- Maximization algorithm. It is based on an ITERA tive optimization of the centers and widths of t he kernels. The aim is to optimize the likelihoo d that the given data points are generated by a mi xture of Gaussians. The numbers next to the Gaus sians give the relative importance (amplitude ) of each component.
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Size: 15360 |
Author: 陈伟 |
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Description: 这篇文章介绍了EM算法，并且提出了一种加速算法，很不错-This article introduced the EM algorithm, and a speed up the algorithm, very good
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Size: 1340416 |
Author: guoguo |
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Description: 本文介绍了用c++实现em算法，非常有用！-This paper introduces the use c++ Realize em algorithm, very useful!
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Size: 6144 |
Author: 钟宏 |
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Description: 用matlab写的一个关于最大期望算法EM实现-Using matlab to write an EM algorithm on the greatest hope to achieve
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Size: 1024 |
Author: 韩栋 |
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Description: EM算法详解！！ EM算法详解-Detailed EM algorithm! ! Detailed EM algorithm
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Size: 176128 |
Author: sean |
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Description: 详细介绍EM算法的好书！！！！PDF格式-EM algorithm detailed book! ! ! ! PDF format
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Size: 99328 |
Author: ＣＫ |
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Description: 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
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Size: 203776 |
Author: 冰激凌 |
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Description: Matlab源代码，EM Algorithm-EM Algorithm
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Size: 4096 |
Author: wenran |
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Description: 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
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Size: 239616 |
Author: 欧阳博 |
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Description: EM算法，好好学，图像处理，图像分割，一定能成功-EM algorithm, good science, image processing, image segmentation, will succeed
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Size: 4096 |
Author: 李金保 |
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Description: water marking of em segmented image
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Size: 9216 |
Author: shivakishore |
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Description: EM算法，是一种无监督的聚类算法，可以实现对数据的处理，对不同数据进行聚类，生成类内相似度最大-EM algorithm is an unsupervised clustering algorithm, the data processing can be achieved on different data clustering, to generate the maximum within-class similarity
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Size: 4096 |
Author: xiajulong |
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Description: 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 including expected the following two steps:
E steps: the expected values M can steps: re-parameters can
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Size: 11264 |
Author: 柳瑶 |
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Description: 基于高斯混合模型(GMM)的em算法，给出了其matlab实现-em algorithm for GMM
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Size: 18432 |
Author: 风陵渡 |
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Description: 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) maximum likelihood estimation and maximum a posteriori estimation algorithm for parameters in the model, the probability model depends on unobservable latent variable (Latent Variable). Maximum expectations are often used in machine learning and computer vision for data clustering (Data, Clustering) fields.)
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Size: 1024 |
Author: 橡树
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Description: 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)
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Size: 1024 |
Author: bairuiling
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