搜索资源列表
-
6下载：
统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含：
1，Analysis of linear discriminant function
2，Feature extraction: Linear Discriminant Analysis
3，Probability distribution estimation and clustering
4，Support Vector and other Kernel Machines,
-
-
1下载：
混合高斯分布中基于最大期望算法的参数估计模型，适应于通信与信号处理以及统计学领域,Mixed Gaussian distribution algorithm based on the parameters of the greatest expectations of the estimated model, adapted to communications and signal processing, as well as the field of statistics
-
-
0下载：
用于估计未知数据的EM算法，即最大期望算法，用到的地方很多，可用来做同步。-The data used to estimate the unknown EM algorithm, that is the maximum expectation algorithm, used in many places, can be used for synchronization.
-
-
1下载：
Free Split and Merge Expectation-Maximization algorithm for Multivariate Gaussian Mixtures. This algorithm is suitable to estimate mixture parameters and the number of conpounds-Free Split and Merge Expectation-Maximization algorithm for Multivariate
-
-
0下载：
Bayesian mixture of Gaussians. This set of files contains functions for performing inference and learning on a Bayesian Gaussian mixture model. Learning is carried out via the variational expectation maximization algorithm.
-
-
0下载：
Mixture of linear regressors. The routines contained in this file allow inference and learning of a mixture of linear-Gaussian regression models. Learning is performed by maximizing the data likelihood via the expectation maximization algorithm.
-
-
1下载：
Linear dynamical system. This set of functions performs inference and learning of a linear Kalman filter model. Inference is carried out via forward-backward smoothing, and learning is accomplished via the expectation maximization algorithm.
-
-
0下载：
GUI for an Expectation-Maximization algorithm (EM) variant (Split-EM-Discriminant)
-
-
0下载：
This is Expectation Maximization algorithm code.
-
-
0下载：
In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterati
-
-
0下载：
基于matlab的SVM（支持向量机）算法。作为非常流行的svm工具，可以实现基于SVM的数据分析，能够应用于人工智能及模式识别领域。-Matlab based on the expectation-maximization algorithm for Gaussian mixture model (GMM) toolkit. GMM-based data can be analyzed, can be used in the field of artificial intelligence a
-
-
1下载：
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.
-
-
0下载：
Expectation-Maximization algorithm
-
-
0下载：
Expectation-Maximization algorithm for a HMM with Multivariate Gaussian measurement
Usage
-------
[logl , PI , A , M , S] = em_ghmm(Z , PI0 , A0 , M0 , S0 , [options])
-
-
0下载：
EM算法，最大期望值算法，用MATLAB程序来编程-EM algorithm, expectation maximization algorithm using MATLAB program to program
-
-
0下载：
统计学中，基于matlab的EM（期望最大化）算法代码实现，可以设定输入和调整阈值-Expectation-maximization algorithm based on matlab, in which one can set input value and adjust threshold
-
-
0下载：
基于Expectation Maximization算法优化的高斯混合模型在3D图像数据聚类中的应用。-This is a 3D visualization of how the Expectation Maximization algorithm learns a Gaussian Mixture Model for 3-dimensional data.
-
-
1下载：
经典的em算法即期望最大化算法，可用于高斯混合GMM模型和聚类算法，-Classic em algorithm that expectation maximization algorithm can be used for Gaussian mixture models and GMM clustering algorithm,
-
-
0下载：
一种经典的实现EM最大期望值的算法，数理统计的内容-Content to achieve a classic EM expectation maximization algorithm, mathematical statistics
-
-
0下载：
在稀疏算法中的期望最大化算法的一个小示例-A small example of the expectation maximization algorithm in a sparse algorithm
-
