A Tree Architecture of LSTM Networks for Sequential Regression with Missing Data

no code implementations • 22 May 2020 • S. Onur Sahin, Suleyman S. Kozat

In our architecture, we employ a variable number of LSTM networks, which use only the existing inputs in the sequence, in a tree-like architecture without any statistical assumptions or imputations on the missing data, unlike all the previous approaches.

regression