搜索资源列表
高斯马尔科夫
- 高斯--马尔科夫过程的matlab代码以及仿真
RandomProcesses.zip
- 用c++语言实现的随机过程分析程序，包括了高斯过程，瑞利过程及平稳过程的分析仿真,With c++ Language analysis of the random process procedures, including the Gaussian process, the Rayleigh process and smooth the process of Analysis and Simulation
gaosi.rar
- 本程序实现一个简单方程组的高斯消去法的换算过程，其中方程系数需构成一个系数增广矩阵，同时输入过程严格按照矩阵输入。,This procedure to achieve a simple equation of the Gaussian elimination of the conversion process, which takes an equation coefficients augmented coefficient matrix, while the importation proc
GaussProject
- 高斯投影正算源代码 实现经纬度BL到大地坐标XY的正算过程，并计算子午线收敛角-Gauss projection is considered the source code to achieve BL latitude and longitude to XY coordinates of the earth is the counting procedure, and calculate the radial convergence angle
gpml-matlab-v3.1-2010-09-27
- 高斯过程算法在回归和分类中的应用程序。与书本《基于高斯过程的机器学习》配套。本程序是最新的v3.1版，更新于2010-09-27-Gaussian process regression and classification algorithm in the application. And the book " machine learning based on Gaussian process" support. This program is the latest v3.1
4.5.2
- 用matlab对基带数字系统进行仿真。整个系统描述了信号的发送和调制过程。其中调制采用16QAM，并且采用基带传输，不必调制到载频上。系统总采用了高斯信道，在接受端采用解调并与发送型号进行比较得到误码率。-Using matlab to base-band digital system simulation. Describes the overall system signal to send and modulation process. Which modulation using 16Q
suijiguocheng
- 这部分是用MATLAB产生随机过程的一系列源代码.含产生高斯分布随机变量,多变量高斯过程样本的产生,高斯--马尔科夫过程的产生等等..分别运行了这些程序.希望对大家有用-This is partly a random process generated by MATLAB source code of the series. Containing random variables have a Gaussian distribution, multivariate Gaussian proces
stproc-2.1
- matlab的随机过程仿真实现，包含泊松过程，指数分布，高斯分布等-matlab random process simulation to achieve, including the Poisson process, exponential distribution, Gaussian distribution
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- 用于高光谱遥感图像分类的空间约束高斯过程方法-For high-spectral remote sensing image classification method of spatial constraints Gaussian process
GPRegression
- 讲解高斯过程回归的经典书籍.这里只包含第二章，讲解回归的部分-a book introduce the Gaussian Process Regression
IEEEtransactions_on-pattern-analysis
- 基于高斯过程的贝叶斯分类,详细介绍了高斯过程-Bayesian Classification With Gaussian Processes
列主元高斯消去法c++
- 利用c++语言实现了列主元高斯消去法求解方程组的过程。(Using c++ language to achieve the main element Gauss elimination method for solving equations process.)
GPR程序
- 基于高斯过程回归的锂电池充放电性能的预测(Prediction of Charge and Discharge Performance of Lithium Batteries Based on Gaussian Process Regression)
gpml
- 使用高斯过程构建主动学习算法，对个人相册集进行分类(An active learning algorithm is constructed using the Gauss process to categorize individual photo albums)
Autocorrelation
- 编写MATLAB程序，产生协方差函数为C(τ)=9??^(?10|??| )的零均值平稳高斯过程，产生一条样本函数.测量所产生样本的时间自相关函数，将结果与理论值比较。(Procedures for the preparation of MATLAB produced C covariance function (tau) =9^ (- 10||) zero mean stationary Gauss process to produce a sample function. Measuring
GPstuff-4.7
- 高斯过程回归工具箱,其中包括高斯过程回归的基础例程，可用于分类，估计和预测(Gauss process regression toolbox, which includes the basic routines of Gauss process regression, can be used for classification, estimation and prediction)
GPR based on GPML-V4.1
- 基于 gpml-matlab-v4.1 工具箱，简单实现了高斯过程回归（Gaussian process regression，GPR）的多变量数据回归，给出了每个预测值的均值以及对应的方差。代码有详细的注释，附有训练数据和测试数据。(Based on the gpml-matlab-v4.1 toolbox, Gaussian process regression (GPR) multivariate data regression is simply implemented, and the
锂电池退化GPR
- 高斯过程回归是一种基于贝叶斯原理的统计机器学习方法，将先验分布通过贝叶斯定理转化成后验分布，与其他没有采用贝叶斯技巧的预测方法而言，高斯过程最大的优点是能方便地推断出超参数，同时也能方便地给出预测值的置信区间(Gaussian Process Regression is a statistical machine learning method based on Bayesian principle. It transforms prior distribution into posterio
gaussianprocess4Clas
- 用高斯过程的实现分类和回归的Matlab代码(Matlab code for implementing four classification and regression using Gauss process)
Code of GPs
- 实现高斯过程算法的一个简单回归，适合初学者学习。(A simple regression of the Gauss process algorithm is realized, which is suitable for beginners to learn.)