搜索资源列表
MAT_SORCOD
- 高斯过程应用与回归分析的matlab程序-Gaussian process with the application of regression analysis procedures Matlab
GussianProcess
- 高斯过程在空间统计学中的研究已有很长时间，但其在最近十年才开始应用到非线性建模中。本例为高斯过程用于回归分析的MatLab实现。-Gaussian process in the space of statistical research for a very long time. but in the last decade only applied to nonlinear modeling. The cases of Gaussia
gpr
- 用matlab完成高斯回归过程，运用hyperparameter对covriance进行选择
libgptk-0.2.tar
- 高斯过程工具箱。由C++编制而成。适用于大规模非均质数据的回归及插值运算。-Gaussian Process Toolkit (GPTK) is a C++ library providing regression/interpolation methods based on Gaussian Processes. In particular the toolkit implements a projected sequent
gaussian
- 高斯过程,用于高斯回归以及高斯分类，很好的源代码-gaussian pocess
GPR
- 利用高斯过程回归建立软测量模型，主程序名为OnlineStage.m,包含数据，可以直接运行，亲测可用。-Gaussian process regression soft sensor model, the main program named OnlineStage.m, contains data that can be run directly, pro-test available.
GP
- 基于贝叶斯理论的高斯过程代码，包含高斯过程回归分析，以及相关噪声处理和高斯过程分类，提供数据进行测试，-Gauss procedure code based on Bayesian theory, including Gaussian process regression analysis, and related processing and noise Gaussian process classification, to prov
demo_gpr
- 用于高斯过程一维建模，能根据不同的协方差函数得到不同的高斯过程回归模型-For the one-dimensional modeling of the Gaussian process, different Gaussian process regression models can be obtained according to different covariance functions
Gaussian Processes for Machine Learning,
- 一本关于高斯过程回归的电子文档 非影印版(A book named Gaussian Processes for Machine Learning, a classic book about GP.)
2016-10-19 gpml-matlab-v4.0
- 高斯过程回归，分类，工具箱；Gaussian Processes ； Machine LearningToolbox.(Gaussian Processes ;Machine Learning (GPML) Toolbox.)
GPR-O-master
- github上找到的高斯过程回归的一个例子。(An example of the Gauss process regress found on GitHub.)
GPstuff_matlab-4.7
- GPtuff发布的关于高斯过程回归的压缩包，非常好用。(GPtuff's compression package for the Gauss process regression is very good.)
MATLAB-GPR-master
- GPtuff上的非常好用的关于高斯过程回归的代码资料。(GPtuff's compression package for the Gauss process regression is very good.)
FWI_GPR_Matlab_TE-master
- github上的非常好用的关于高斯过程回归的代码资料。(github is a very good code for the Gauss process regression.)
python-gpr-master
- github上的非常好用的关于高斯过程回归的python代码，非常好用。(GitHub is a very good code for the Gauss process regression.)
multigp-master
- 高斯过程多输出，有很多的例子。包括回归、分类等(GPR multiple output)
gpr1
- 高斯过程回归,核函数，RBF，CONSTANT，RS(gaosi,RBF,CONSTANT,RS,regress)
gaussq.zip
- matlab高斯过程回归预测matlab高斯过程回归预测matlab高斯过程回归预测matlab高斯过程回归预测
7175674gaussian
- GPR程序，可以用于高斯过程回归预测，预测均值和方差(GPR program can be used for regression prediction of Gauss process, prediction of mean and variance.)
GPflow_example.py
- 利用GPflow进行高斯过程回归，kernel有OU过程核等(Gauss Process Regression Using GPflow)