This paper presents a novel approach based on Gaussian Mixture Regression (GMR) for modeling building energy use with locally adaptive uncertainty quantification. The choice of GMR is motivated by two key advantages (1) the number of unique building operation patterns can be identified using ...
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 Expectation-Maximization (EM) iterativ...
This paper proposes a closed-loop framework of LfD based on the bagging method of Gaussian Mixture Model and Gaussian Mixture Regression (GMM/GMR) to obtain a robust learner of LfD with high precision reproduction. The original demonstration data are divided into several sub-training data, from ...
3.2.4 Gaussian mixture regression The regression process has the goal of continuously estimating the robot joints bending angles. The Gaussian mixture regression (GMR) provides a smooth generalized version of the signal starting from the GMM. GMR estimates the joint angles αˆ and their covariance...
Gaussian-mixture-regressionCo**il 上传41.52 KB 文件格式 zip MATLAB code for Gaussian mixture regression (GMR) 点赞(0) 踩踩(0) 反馈 所需:1 积分 电信网络下载 TDP_Report_Appendix 2025-05-01 00:01:48 积分:1 video-editing-timeline 2025-05-01 00:02:42 积分:1 ...
1) Gaussian regression 高斯回归模型2) gaussian mixture autoregressive model 混合高斯自回归模型 1. With Gaussian mixture autoregressive model,the probability density and power spectrum density of non-Gaussian col- ored processes can be fit. 混合高斯自回归模型可以对有色非高斯数据的概率密度和功率谱...
After training of the GMM, given a set value of ξ, the corresponding η can be estimated by taking the posterior mean, which is also called the Gaussian mixture regression (GMR) [22–25]. ˆη=∫ηP(η|ξ)dη =∫ηP(θ)P(ξ)dη =K∑i=1∏iP(ξ)∫ηGi(θ)dη =K∑i=...
从中心极限定理的角度上看,把混合模型假设为高斯的是比较合理的,当然也可以根据实际数据定义成任何分布的Mixture Model,不过定义为高斯的在计算上有一些方便之处,另外,理论上可以通过增加Model的个数,用GMM近似任何概率分布。 混合高斯模型的定义为: 其中K为模型的个数,πk为第k个高斯的权重,则为第k个高斯的概率...
Gaussian mixture continuously adaptive regression for multimode processes soft sensing under time-varying virtual drift 2023, Journal of Process Control Citation Excerpt : Moreover, continuous processes generate streaming industrial big data [20], and the property of data streams may change over time du...
概述 参考 sklearn.mixture: Gaussian Mixture Models 高斯混合模型(GMM)源代码实现(二) A Gaussian Mixture Model (GMM) is a parametric probability density function represe