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# | ||
# Code of Re-implementing the methodology in the paper: | ||
## Recurrent Neural Networks for Multivariate Time Series with Missing Values | ||
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This method can be used for dealing with time series with missing values, especially for time series with non-fixed time intervals. | ||
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### Environment | ||
* Python 3.6.1 | ||
* PyTorch 0.3.0 | ||
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### Cite | ||
``` | ||
@article{che2018recurrent, | ||
title={Recurrent neural networks for multivariate time series with missing values}, | ||
author={Che, Zhengping and Purushotham, Sanjay and Cho, Kyunghyun and Sontag, David and Liu, Yan}, | ||
journal={Scientific reports}, | ||
volume={8}, | ||
number={1}, | ||
pages={6085}, | ||
year={2018}, | ||
publisher={Nature Publishing Group} | ||
} | ||
``` |