搜索资源列表
Entropic
- 上载文件为Matlab环境下的高斯以马尔科夫模型例程，很好用-document on the Matlab environment for the Gaussian Markov model routines to good use
gmmMatlab
- gaussian mixture modelling in matlab
关于高斯混合模型（GMM）的matlab源代码
- 关于高斯混合模型（GMM）的matlab源代码：,On the Gaussian mixture model (GMM) of the matlab source code:
circleGS
- GS算法，将高斯光束脉冲整形成为环形光强均匀分布的光束-GS algorithm, the Gaussian pulse shaping a uniform circular beam of light intensity
Parzen_Window
- 模式识别中Parzen窗函数的实现，模拟对二维高斯分布的非参估计。窗函数有三种：高斯窗、指数窗、方窗-Pattern Recognition Parzen window function of the realization, simulation of two-dimensional Gaussian distribution is estimated non-participation. There are three window function: Gaussian window, th
VarBayesianCode
- Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors. -Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors.
prtools
- 一个强大的统计模式识别工具箱，包含高斯分类器，高斯混合模型，主成分分析，支持向量机等常见分类方法。-A powerful statistical pattern recognition toolbox, including the Gaussian classifier, Gaussian mixture model, principal component analysis, support vector machines and other common classification met
mixture_of_gaussians
- 混合高斯模型 图像检测 可以应用于视频和图片-Mixture Gaussian model image detection can be applied to video and picture
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
code
- 本贝叶斯分类器可以实现对二维高斯分布样本的分类-The Bayesian classifier can achieve two-dimensional Gaussian distribution of the classification of samples
Pattern_Classification_Project_3
- 两个模式识别算法实现，一个是线性区别函数另一个是混合高斯模型方法。本人的大作业，经验证可用。-Two pattern recognition algorithm, the difference between a linear function of the other is the Gaussian mixture model. I am a big operation, experience certificates available.
cuSVMVCcode
- 基于GPU计算的SVM，VC++源码，包括详细文档说明文件。借用了GPU编程的优势，该代码据作者说比常规的libsvm等算法包的训练速度快13-73倍，预测速度快22-172倍。希望对大家有用-cuSVM is a software package for high-speed (Gaussian-kernelized) Support Vector Machine training and prediction that exploits the massively parallel proc
The_nonlinear_filtering_algorithm_performance_anal
- 对目前非线性滤波的主要算法即扩展卡尔曼滤波、不敏卡尔曼滤波、粒子滤波、扩展卡尔曼粒子滤波和不敏粒子滤波的滤波模型、适用条件、性能进行了分析比较，给出了每种方法的计算复杂度．通过一个非线性非高斯模型进行了仿真，验证了这些算法的性能。-Present the main algorithms of the nonlinear filtering extended Kalman filter, Unscented Kalman filter, particle filter, particle filt
bijin_bijiao
- 高斯、加斯比、SOR三种逼近算法的比较，matlab实现-Gaussian, Gatsby, SOR comparison of three approximation algorithms, matlab implementation
Solve
- 线性方程组的系数矩阵为实对称阵并且采用半带宽存储时，采用顺序高斯消去法解线性方程组的matlab程序。-The coefficient matrix of linear equations for the real symmetric matrix and the semi-bandwidth, storage, use sequential Gaussian elimination method for solving linear equations matlab program.
Kmean
- Kmean 算法Matlab实现，数据为二维高斯随机分布点-Kmean algorithm by Matlab, the data points for the two-dimensional Gaussian random distribution
spike-distance-programs
- 对多次重复时间序列(神经生物系统中神经元得放电序列，Spike train）做PSTH,并进行高斯平滑，对时间间隔进行统计分析。-compute gaussian smooth, spike ISI
rbf
- 自己编写RBF神经网络程序，RBF神经网络隐层采用标准Gaussian径向基函数，输出层采用线性激活函数，其中数据中心、扩展常数和输出权值均用梯度法求解，它们的学习率均为0.001。其中隐节点数选为10，初始输出权值取[-0.1，0.1]内的随机值，初始数据中心取[-1，1]内的随机值，初始扩展常数取[0.1，0.3]内的随机值，输入采用[0 1]的随机阶跃输入(Write your own RBF neural network, RBF neural network hidden layer
gpml-matlab-v4.1-2017-10-19
- MATLAB code. It was originally demonstrated the main algorithms from Rasmussen and Williams: Gaussian Processes for Machine Learning.(The code provided here originally demonstrated the main algorithms from Rasmussen and Williams: Gaussian Processes f
ChenxingMaterials
- 这是一种用于人类微生物疾病关联预测(Katzhmda)的katz度量的新的计算模型。(This is a novel computational model of KATZ measure for Human MicrobeDisease Association prediction)