Research Area:  Machine Learning

Abstract:

This paper presents the winning submission of the M4 forecasting competition. The submission utilizes a dynamic computational graph neural network system that enables a standard exponential smoothing model to be mixed with advanced long short term memory networks into a common framework. The result is a hybrid and hierarchical forecasting method.

Keywords:  

Author(s) Name:  SlawekSmyl

Publisher name:  Elsevier

DOI:  10.1016/j.ijforecast.2019.03.017

Volume Information:  Volume 36, Issue 1, January–March 2020, Pages 75-85

Paper Link:   https://www.sciencedirect.com/science/article/abs/pii/S0169207019301153