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The Bayesian Committee Machine (BCM) is an approximation method for
large-scale Gaussian process regression.
- The code is for Matlab
Version 1.0, November 2005-The Bayesian Committee Machine (BCM) is an approximation method for large-scale Gau
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高斯过程在回归和分类问题中的应用，注释详细,Gaussian process regression and classification problems in the application, comments, details
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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
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Variational Bayesian Multinomial Probit Regression with
Gaussian Process Priors. -Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors.
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GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Ex
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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
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GPML的关于GPR gaussian process regression-gaussian process regression GPR
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高斯过程回归算法中计算K矩阵的简单算法，比较简单-Simple algorithm, Gaussian process regression algorithm to calculate the K matrix is relatively simple
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单输出高斯过程回归 代理模型 回归 可代替神经网络-Single output Gaussian process regression
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这是基于mac ios的操作系统写的基于高斯过程回归的代码，效果很不错的-This is based on MAC ios operating system to write code based on gaussian process regression, the effect is very good
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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
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高斯过程回归训练，机器学习的matlab代码-gaussian process regression machine learning
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gaussian process regression for signal processing
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用Gaussian Process Regression，做单帧超分辨率重建-Single Image Super-Resolution using Gaussian Process Regression(CVPR2011)
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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
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Single Image Super-Resolution using Gaussian Process Regression Method
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gaussian process regression for communication.Is very helpful for beginners.
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高斯过程回归及分类的代码，内容全，有实例，注释清晰。包括分类系列和预测回归系列，值得感兴趣的同学学习借鉴。-Gaussian process regression and classification code, content, there are instances, comments clear.Including classification and forecasting return series, is worthy of reference for anyone interest
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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
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利用GPflow进行高斯过程回归，kernel有OU过程核等(Gauss Process Regression Using GPflow)
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