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Version7.1.5out
- GUI for an Expectation-Maximization algorithm (EM) variant (Split-EM-Discriminant)
3Hopfield
- 演示Hopfield网络，具有两个稳定平衡点，其期望向量T如下。-Demo Hopfield network with two stable equilibrium point, the expectation vector T as follows.
modelbasedonspectrumprediction
- 文章展示了基于高斯混合模型的语音频谱预测方法。频谱预测可能在传包过程中预防丢包这方面起到大作用。期望最大化算法用两倍或三倍的连续语音因素来测试模型。模型被用来设计第一，儿等指令预测量。预测表用频谱分配状态来估计并和一个简单的参考模型对比。最好的预测表得到一个平均频率扭曲值是0.46dB小于参考模型-This paper presents methods for speech spectrum prediction based on Gaussian mixture models. Spec
k_means
- In statistics and machine learning, k-means clustering is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean. It is similar to the expectation-max
getPDF1
- In this paper, we investigate the timing and carrier frequency offset (CFO) synchronization problem in decode and forward cooperative systems operating over frequency selective channels. A training sequence which consists of one orthogonal fr
getPDF2
- In this paper, we investigate the timing and carrier frequency offset (CFO) synchronization problem in decode and forward cooperative systems operating over frequency selective channels. A training sequence which consists of one orthogonal fr
Lin_2009EI_CropResize
- Authenticating Cropped and Resized Images Using Distributed Source Coding and Expectation Maximization
NDA_EM_qpsk
- 采用EM，期望最大方法，估计QPSK调制方式下的信噪比-Using EM, expectation maximization method to estimate the signal to noise ratio under QPSK modulation
elevator
- 实际的场景，若电梯的最大载客量m=10，设电梯中已有的 客人服从0-10 之间的均匀分布，且电梯中的任意一人在任意一层下的 概率相同，若你在第三层需要乘电梯到第七层，电梯处在第一层，共 8 层。且在每一层等电梯到达他们的目的楼层的客人服从0-3 的均匀分 布此时我们对电梯的运行加一些限 制，即电梯中若有客人未达目的地，电梯不会改变运行方向，求直到 你到达第七层为止，，电梯需停次数的数学期望，并进行计算机模拟验 证。-The actual scene, if the m
src.tar
- 期望最大化的算法代码，类似于k近邻，分为两个步骤：E步骤和M步骤。-Expectation maximization algorithm code, similar to the k nearest neighbor, is divided into two steps: E steps and M steps.
EM_algorithm.pdf
- Good tutorial for Expectation maximization algorithm
parametersfbs123
- Particle Smoothing Expectation Maximization Procedure
libsvm
- 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
parametersfbstesty
- Particle Smoothing Expectation Maximization Procedure
socialEM
- the expectation maximization algorithm written using java.
EM-Algorithm
- EM算法 , 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-EM algorithm, EM algorithm is a very important machine learning algorithm, that is, expectation maximization algorithm
EM_GM
- this is expectation maximize algorithm for guassian mixture
experiment
- 了解随机信号自身的特性，包括均值（数学期望）、方差、相关函数、频谱及功率谱密度等。-Understanding of random signal their characteristics, including mean (mathematical expectation), variance, correlation function, spectrum and power spectral density.
yankebingchuang2
- 此算法先把伤病人员进行特殊对待，在计算出其他人的入院日期，表二的出院日期为 统计的期望值 运用是要改变 数据的初值 和u值（数据录入个数）；-This algorithm first special treat the sick and wounded, in the calculation of other people' s admission date, discharge date in Table II used for the statistical expectation
Expectation-maximization
- 用IDL与ENVI 进行非监督分类的maximation算法，简单实用，功能强大-Use IDL and ENVI maximation non-supervised classification algorithms, simple, practical, powerful