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Generalized Simultaneous Perturbation-based Gradient Search with Reduced Estimator Bias
We first present in detail unbalanced generalized simultaneous perturbation stochastic approximation (GSPSA) estimators and later present the balanced versions (B-GSPSA) of these.
Public Transit Arrival Prediction: a Seq2Seq RNN Approach
Further motivated from accurately modelling congestion influences on travel time prediction, we additionally propose to use a bidirectional layer at the decoder (something unexplored in other time-series based ED application contexts).
Sequence Prediction Under Missing Data : An RNN Approach Without Imputation
We focus on forecasting here in a general context of multi-step prediction in presence of possible exogenous inputs.
Seasonal Encoder-Decoder Architecture for Forecasting
It can be employed on single or multiple sequence data.
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