搜索资源列表
MIL-Ensemble
- This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with this toolbox
EM_GM
- 针对于K维高斯混合模型估计的期望最大算法-EM algorithm for k multidimensional Gaussian mixture estimation
EMalgorithm
- 详细介绍了EM算法的推到及使用，是学习图像处理，图像分割的一篇经典。-Details of the EM algorithm is pushed to and use of learning image processing, image segmentation of a classic.
Bayes_EM
- 利用matlab实现的基于EM算法的贝叶斯分类器的源代码，可以用来分类或识别，很值得收藏-Using matlab to achieve EM algorithm based on Bayesian classifier of the source code can be used to classification or identification, it is worthy of collection
ga
- 遗传算法是弥补了EM算法的缺点，是现在比较流行的一种利用迭代计算全局最优值的一种算法。遗传算法是借鉴了自然遗传学，因此它们的基本思想是想通的。-Genetic algorithm is made up for the shortcomings of EM algorithm, is now more popular means of a global optimum value of iterative calculation algorithm. Genetic algorithm is bo
EMalgorithm
- 书中详细介绍了EM算法的由来，及其迭代算法。-sorry my english is poor
emalgorithmusedtocluster
- 采用em算法对某个具体的二维数据集进行聚类-Em algorithm using two-dimensional data set to a specific cluster
20107210374284118
- EM聚类算法的C++实现，高效地进行编码，充分利用系统资源。-EM Clustering Algorithm C++ implementation, efficient encoding, full use of system resources.
CLDA
- Latent Dirichlet Allocation程序，基于EM算法。能得到alpha和beta参数-Latent Dirichlet Allocation program, based on the EM algorithm. Alpha and beta parameters can be derived
LDA-Code
- 主要是LDA 包的程序 其中有KL，EM算法和一些推论-The program is mainly LDA package including KL, EM algorithm, and some inferences
GMM
- 这里介绍了一个利用了EM算法得到的GMM训练c代程序-This is a useful file of GMM code
nbem.tar
- Naive bayes classifer的具体实现，使用多模态事件模型表示，提供EM算法用于半监督和无监督学习，最大似然估计用于有监督学习-The Naive bayes classifer implementation, using a multi-modal event model EM algorithm for semi-supervised and unsupervised learning, maximum likelihood estimation for supervised
EMal
- 使用EM算法完成图像的分割，使用混合高斯模型，可以修改分类数。运行EM.m-Expectation Algorithm
stochastic---probelm
- EM算法处理随机优化问题，转变成期望值模型-EM algorithm for stochastic optimization problem into expectation model
Kmeans_VS_EM_OnLaborDataSet
- 使用著名的数据挖掘和机器学习软件WEKA，在标准数据集labor上，比较Kmeans与EM算法。-Use well-known data mining and machine learning software WEKA, on standard data sets labor, relatively Kmeans with EM algorithm.
GMM_EM
- 高斯混合模型EM算法,通过EM算法来进行高斯混合模型的参数估计-Gaussian mixture model EM algorithm parameters by EM algorithm to estimate the Gaussian mixture model
lda-0.2
- LDA 模型的em算法 不需要计算似然函数-LDA model
EM
- 模式识别中的Expectation maximization算法的matlab源码-Expectation maximization algorithm
contourletHMT
- 基于马尔可夫的HMT模型 使用EM算法进行参数训练-a hidden Markov tree model to the contourlet coefficients of images.These functions are based on the journal Directional Multiscale Modeling of Images Using the Contourlet Transform
art_authen
- 使用Contourlet变换和SVM进行书画艺术的识别，通过EM算法进行HMT参数的训练-Code used for the article Authentication of paintings using hidden Markov modelling of contourlet transforms , where we develop a method for classification of paintings digital reproductions.