Dynamic Prediction Length for Time Series with Sequence to Sequence Networks

2 Jul 2018Mark HarmonDiego Klabjan

Recurrent neural networks and sequence to sequence models require a predetermined length for prediction output length. Our model addresses this by allowing the network to predict a variable length output in inference... (read more)

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