Sparse Recurrent Mixture Density Networks for Forecasting High Variability Time Series with Confidence Estimates

Narendhar Gugulothu, Easwar Subramanian, Sanjay P. Bhat. Sparse Recurrent Mixture Density Networks for Forecasting High Variability Time Series with Confidence Estimates. In Igor V. Tetko, Vera Kurková, Pavel Karpov, Fabian J. Theis, editors, Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part II. Volume 11728 of Lecture Notes in Computer Science, pages 422-433, Springer, 2019. [doi]

Abstract

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