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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…
cs.LG2017
Fully Distributed and Asynchronized Stochastic Gradient Descent for Networked Systems
Ying Zhang
This paper considers a general data-fitting problem over a networked system, in which many computing nodes are connected by an undirected graph. This kind of problem can find many…