BRITS: Bidirectional Recurrent Imputation for Time Series

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Cao, Wei; Wang, Dong; Li, Jian; Zhou, Hao; Li, Lei; Li, Yitan;
  • Subject: Statistics - Machine Learning | Computer Science - Learning

Time series are widely used as signals in many classification/regression tasks. It is ubiquitous that time series contains many missing values. Given multiple correlated time series data, how to fill in missing values and to predict their class labels? Existing imputati... View more
  • References (35)
    35 references, page 1 of 4

    [1] C. F. Ansley and R. Kohn. On the estimation of arima models with missing values. In Time series analysis of irregularly observed data, pages 9-37. Springer, 1984.

    [2] M. J. Azur, E. A. Stuart, C. Frangakis, and P. J. Leaf. Multiple imputation by chained equations: what is it and how does it work? International journal of methods in psychiatric research, 20(1):40-49, 2011.

    [3] A. Basharat and M. Shah. Time series prediction by chaotic modeling of nonlinear dynamical systems. In Computer Vision, 2009 IEEE 12th International Conference on, pages 1941-1948. IEEE, 2009.

    [4] B. Batres-Estrada. Deep learning for multivariate financial time series, 2015.

    [5] S. Bauer, B. Schölkopf, and J. Peters. The arrow of time in multivariate time series. In International Conference on Machine Learning, pages 2043-2051, 2016.

    [6] S. Bengio, O. Vinyals, N. Jaitly, and N. Shazeer. Scheduled sampling for sequence prediction with recurrent neural networks. In Advances in Neural Information Processing Systems, pages 1171-1179, 2015.

    [7] M. Berglund, T. Raiko, M. Honkala, L. Kärkkäinen, A. Vetek, and J. T. Karhunen. Bidirectional recurrent neural networks as generative models. In Advances in Neural Information Processing Systems, pages 856-864, 2015.

    [8] A. P. Bradley. The use of the area under the roc curve in the evaluation of machine learning algorithms. Pattern recognition, 30(7):1145-1159, 1997.

    [9] P. Brakel, D. Stroobandt, and B. Schrauwen. Training energy-based models for time-series imputation. The Journal of Machine Learning Research, 14(1):2771-2797, 2013.

    [10] Z. Che, S. Purushotham, K. Cho, D. Sontag, and Y. Liu. Recurrent neural networks for multivariate time series with missing values. Scientific reports, 8(1):6085, 2018.

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