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cs.LG2022
Probabilistic Models for Manufacturing Lead Times
Recep Yusuf Bekci, Yacine Mahdid, Jinling Xing +3
In this study, we utilize Gaussian processes, probabilistic neural network, natural gradient boosting, and quantile regression augmented gradient boosting to model lead times of la…
math.NA2022★ 2 cited
Sparse Representations of Solutions to a class of Random Boundary Value Problems
Fang Yang, Min Chen, Jiecheng Chen +2
We introduce certain sparse representation methods, named as stochastic pre-orthogonal adaptive Fourier decomposition 1 and 2 (SPOAFD1 and SPOAFD2) to solve the Dirichlet boundary…