Time Series Forecasting, Classification, Deep Learning, Recurrent Neural Network, Missing Data.
functions such as the sigmoid function, etc. There are two various decay mechanisms that are used in this research to use the missingness directly with the input values and implicitly in the RNN states. Instead of using the previous data point, we use an input decay γₜ to decay over time toward the