搜索资源列表
Spars_Grid_Designs
- This package enables Gaussian process prediction with very large sample sizes with a much smaller computational burden than many existing methods.
2006
- 高斯过程回归算法工具箱，很好用的，我用过-Gaussian process regression algorithm toolbox, well used, I used
Mfile
- 假设用图示所示的两个正交信号经由一个AWGN信道传输二进制信息，在持续期Tb的每个比特区间接收到的信号以10/Tb速率采样，即每个比特区间内10个样本，幅度为A。噪声是均值为零，方差为 的高斯过程。 写MATLAB程序，在方差为0,0.1,1.0和2.0时，完成接收信号和两种发射信号的每一种的离散时间相关，画出在时刻k=1,2,…,10相关器的输出。-Assuming an AWGN channel transmission via binary information in two ort
demo_gparm
- 主要作为多维输入高斯过程拟合的实例，并讨论了不同超参数条件，不同协方差函数的表现- Primarily as a multi-dimensional Gaussian process input fitting examples and discuss the different super-parameters, the performance of different covariance functions
MTWGP
- Multi-Task Warped Gaussian Process for Personalized Age Estimation 文章的matlab源代码-matlab code of paper Multi-Task Warped Gaussian Process for Personalized Age Estimation
approx_for_gpc
- 高斯过程二分类中，后验概率的几种估计算法-Approximations for Binary Gaussian Process Classifi cation
gpml-matlab-v3.6-2015-07-07
- Gaussian process classification
gpml-matlab-v3.4-2013-11-11
- Gaussian process for machine learning
gpmoead(-MOEA-D-with-GPM)
- 基于高斯过程的复杂多目标优化Paper及其code-Expensive Multiobjective Optimization by MOEA/D with Gaussian Process Model
Per_Gauss_Q_U_test
- 表述一个高斯过程的传递，用于随机共振理论的研究 随机共振在高斯背景下的信号检测-Expression of a gaussian process, used in the study of the theory of stochastic resonance of stochastic resonance in the context of gaussian signal detection
Matlab
- 为了提高四足机器人在复杂环境下的适应性,重点研究了采用飞行时间(TOF)原理相机的四足机器人环境感知策略并改进了地形识别及路径规划算法.首先采用高斯过程回归(GPR)模型对TOF相机的距离数据进行误差校正,解决了采用传统多项式或三角函数模型进行误差修正时模型阶次过高及函数组合复杂的问题.基于得到的环境深度信息,采用数字高程模型(DEM)进行地形描述,并通过计算各栅格的坡度、粗糙度、起伏度对地形进行识别.粗糙度由该栅格所处的坡度平面与其8邻域高程点的离散程度进行计算,避免了采用高程方差计算时对粗糙
GP
- 用matlab编写的高斯过程的算法，常用于预测和分类-Algorithm using matlab Gaussian process, commonly used in the prediction and classification
gpml-matlab-v3.6-2015-07-07
- 这是一个高斯过程回归和分类工具箱，功能非常齐全，可以为解决高斯过程相关的问题提供很多帮助- GAUSSIAN PROCESS REGRESSION AND CLASSIFICATION Toolbox version 3.6 for GNU Octave 3.2.x and Matlab 7.x Copyright (c) by Carl Edward Rasmussen and Hannes Nickisch, 2015-07-07. 0) HOW
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.
gpr_ME
- 高斯过程回归，适用于初学高斯过程回归和分类的同学，有完整的实例与多种辅助函数说明,例如用高斯过程回归进行信道的盲均衡。对于高斯过程回归与分类的进一步学习有很大的帮助。-Gaussian process regression, suitable for beginners gaussian process regression and classification of the classmate, a complete instance and a variety of auxiliary fu
ocgaosi
- 基于高斯过程的一类算法，发表在模式识别期刊上。-A classification algorithm based on gaussian process
gaosifansuan
- 这个用C#编译的程序可以用来进行大地测量中的高斯反算的过程，且计算结果较为准确。-The program compiled using C# can be used for geodetic inverse Gaussian process, and the results are more accurate.
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 provide data for testing, etc.
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
demo_gparm
- 这个是多维高斯过程模型程序，能根据不同的维度来进行多维高斯过程建模拟合-This is a multidimensional Gaussian process model program that can be multidimensional Gaussian process modeling fit according to different dimensions