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Description: Implements Maximum likelihood estimation of beta and other parameters for model of stock portfolio vs. index using kalman filter
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Size: 1024 |
Author: rajesh |
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Description: GS算法的matlab例子,本例子仿真了一个圆形的光环结构,其它的参数见matlab中的注释-GS algorithm matlab example, the example of simulation of a circular ring structure, and other parameters, see the Notes matlab
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Size: 1024 |
Author: lixupeng |
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Description: 使用变分EM方法实现的LDA文本模型
输入为文本即可
分解实现,含多个小函数可单独使用-LDA For Text Classification
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Size: 24576 |
Author: yiyi |
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Description: 高斯混合模型的em
内含源代码与例子和实验报告-Gaussian mixture model of the em algorithm
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Size: 4096 |
Author: zzj |
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Description: 模拟退火,禁忌搜索,遗传算法,神经网络-MATLAB程序合集 -Simulated annealing, tabu search, genetic algorithm, neural network-MATLAB collection procedures simulated annealing, tabu search, genetic algorithm, neural network-MATLAB collection procedures
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Size: 4096 |
Author: 王朗 |
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Description: effecient EM parameters for metamaterial with Drude model
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Size: 1024 |
Author: Wang |
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Description: This package contains Matlab m-files for learning finite Gaussian mixtures from sample data and performing data classification with Mahalanobis distance or Bayesian classifiers. Each class in training set is learned individually with one of the three variations of the Expectation Maximization algorithm: the basic EM algorithm with covariance fixing, the Figueiredo-Jain clustering algorithm and the greedy EM algorithm.
The basic EM and FJ algorithms can handle complex valued data directly, the greedy EM algorithm cannot.
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Size: 20480 |
Author: 李 |
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Description: Antenna and EM Modeling with MATLAB - Sergey N. Makarov (.m Files).rar-Antenna and EM Modeling with MATLAB- Sergey N. Makarov (.m Files).rar
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Size: 7937024 |
Author: krishnamaiden |
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Description: GMM很好的理论资料,对高斯模型的详细描述以及EM算法的介绍。对编程有一定的帮助。-This is for the initial researcher to study about the GMM Model.
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Size: 195584 |
Author: 郭伟 |
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Description: GMM(Gaussion Mixture Model) ,从matlab 主站获得的程序,本人已测试-Gaussion Mixture Model is down load from matlab net
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Size: 2018304 |
Author: 朱亮亮 |
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Description: matlab实现的sfm代码 假设摄像机位置 及物体位置 包括多种重建方式-matlab code to achieve the assumption that the sfm object location and the location of the camera, including a variety of redevelopment
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Size: 1975296 |
Author: as |
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Description: 模式识别
关于GMM+EM+BIC,请运行附件的程序。主程序:VASceneAnalysisFH7_ICMEFull_2009.m
-Pattern Recognition on the GMM+ EM+ BIC, please run the attached file. Main program: VASceneAnalysisFH7_ICMEFull_2009.m
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Size: 6844416 |
Author: 姚其 |
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Description: 混合高斯em算法matlab源码可算三个参数-Em algorithm for Gaussian mixture can be considered three parameters matlab source
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Size: 9216 |
Author: 何卫华 |
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Description: 利用EM算法进行的彩色图像分割,利用EM算法进行的彩色图像分割-The use of EM algorithm for color image segmentation
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Size: 1024 |
Author: fujie |
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Description: 关于高斯混合模型(GMM)的matlab源代码-是用于训练分类的不错的源代码-On the Gaussian mixture model (GMM) of the matlab source code- is used to train a good classification of the source code
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Size: 57344 |
Author: jack |
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Description: GMM Model Gaussian Mixture Models - Algorithm and
Matlab Code-GMM Model!
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Size: 43008 |
Author: Kendall Wang |
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Description: EM Scattering of the ocean surface.Ocean surface spectrum generation with matlab.
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Size: 2048 |
Author: erkkrz |
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Description: 给定独立同分布样本集,用matlab编程实现EM算法进行参数估计-Given the independent and identically distributed sample set, using matlab programming EM algorithm to estimate parameters
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Size: 1024 |
Author: jing |
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Description: GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning algorithms. By using this model, Gaussian Mixture Regression (GMR) can then be used to retrieve partial output data by specifying the desired inputs. It then acts as a generalization process that computes conditional probability with respect to partially observed data.
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Size: 1034240 |
Author: ning |
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Description: INSTRUCTIONS FOR RUNNING NSDCALC SOFTWARE
Nsdcalc.m is a Matlab program for performing the image enhancement process
described in the accompanying paper. Place the program in your work directory
along with the demonstration data file grav.txt. At the Matlab prompt type
>> g=load( grav.txt )
-and you should see a variable called g which is 200x200 double precision
reals appear in the workspace. To filter this data type
>> f=nsdcalc(g,3,0)
which will calculate the standard deviation in a 3x3 window and apply
no prior smoothing. The results will then appear onscreen in a window.
You may need to adjust the histogram of the output for optimal display.-Nsdcalc is a Matlab program that performs normalised standard deviation analysis for edge enhancement of gravity and EM potential-field datasets
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Size: 172032 |
Author: 蒋礼 |
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