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Method and device for providing a sparse gaussian process model for calculation in an engine control unit

机译:用于提供稀疏高斯过程模型以在发动机控制单元中进行计算的方法和装置

摘要

A method for determining a sparse Gaussian process model to be carried out in a solely hardware-based model calculation unit includes: providing supporting point data points, a parameter vector based thereon, and corresponding hyperparameters; determining or providing virtual supporting point data points for the sparse Gaussian process model; and determining a parameter vector Qy* for the sparse Gaussian process model with the aid of a Cholesky decomposition of a covariant matrix KM between the virtual supporting point data points and as a function of the supporting point data points, the parameter vector based thereon, and the corresponding hyperparameters, which define the sparse Gaussian process model.
机译:一种用于确定将在仅基于硬件的模型计算单元中执行的稀疏高斯过程模型的方法,包括:提供支持点数据点,基于其的参数向量以及相应的超参数;为稀疏高斯过程模型确定或提供虚拟支撑点数据点;并借助虚拟支撑点数据点之间的协变矩阵K M 的Cholesky分解,确定稀疏高斯过程模型的参数矢量Q y *支持点数据点,基于其的参数向量以及相应的超参数的函数,它们定义了稀疏的高斯过程模型。

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