Gaussian process modelling of multiple short time seriesHande TopaAntti HonkelaESANNThe European Symposium on Artificial Neural Networks
参考文献 [1] Roberts, Stephen, et al. "Gaussian processes for time-series modelling."Phil. Trans. R. Soc. A371.1984 (2013): 20110550. [2] Chen, Zexun.Gaussian process regression methods and extensions for stock market prediction. Diss. Department of Mathematics, 2017. [3] Chen, Zexun, ...
1、预测范围内产生的随机状态分布的传播的问题,这在'Gaussian Process for Modelling and Control of Dynamic Systems'书中有介绍; 2、GP用于MPC中的理论性保证; 3、GP-MPC的计算问题。 更深入的研究可以详看这篇文献的部分引用论文,之前文章提到过这块内容: ...
a, The transport of the shipment item has started 发货项目的运输开始了[translate] aSupply Chain Management; Hybrid Kanban-CONWIP; Discrete Event Simulation; Gaussian Process Modelling; Optimisation 供应链管理; 杂种Kanban-CONWIP; 离散事件模拟; 高斯过程塑造; 优化[translate]...
内容提示: Gaussian Process for lens distortion modelingPradeep Ranganathan and Edwin OlsonAbstract—When calibrating a camera, the radial componentof lens distortion is the dominant source of image distortion. Tomodel this lens distortion, camera models incorporate a radialdistortion model that conforms to...
We introduce the Gaussian process modelling module of the UQLab software framework. The novel design of this software aims at providing seamless integration of Gaussian process modelling into any uncertainty quantification analysis, as well as a standalone surrogate modelling tool. We first briefly prese...
gaussian processes for timeseries modelling
ModellingComplex surfaces merging multiple scales of featurYuehong Yin aMing Jun Ren aLijian Sun aLingbao Kong bCIRP AnnalsYin Y, Ren MJ, Sun L, Kong L (2016) Gaussian Process Based Multi-Scale Modelling for Precision Measurement of Complex Surfaces. CIRP Annals 65 (1):487-490....
与k均值区别 最佳聚类实践:高斯混合模型(GMM) - 知乎 (zhihu.com) GMM不需要对数据做标准化处理 machine learning - Is it important to make a feature scaling before using Gaussian Mixture Model? - Cross Validated (stackexchange.com) Gaussian Mixture Modelling explicitly relaxes both the assumption of ...
We discuss how domain knowledge influences design of the Gaussian process models and provide case examples to highlight the approaches.关键词: Gaussian processes time-series analysis Bayesian modelling DOI: 10.1098/rsta.2011.0550 被引量: 149