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Are there any scientific papers or articles on use of bias vector regularization for training LSTM models ( I am using Keras: https://github.com/keras-team/keras/blob/master/keras/layers/recurrent.py#L2051 )?

I have used it for time series forecasting in stacked LSTM architecture and it improved evaluation results a lot, but I do not know why and how it works.

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