Time Series Forecasting, Classification, Deep Learning, Recurrent Neural Network, Missing Data.
with missing points: There is a tendency for missing points to have a close value to their neighbors in time-series trend The effect of the input disappears if the variable has been missing for a while So, the researchers proposed GRU-D as you can see its schematic architecture in Figure 3. Figure