DTW-Approach for uncorrelated multivariate time series imputation
Conference object, Other literature type
Poisson Caillault, Emilie
- Publisher: Proceedings of the 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP). 2017. 6 p.
Dynamic Time Warping | Similarity measures | Imputation | [ STAT.ML ] Statistics [stat]/Machine Learning [stat.ML] | Uncorrelated multivariate time series | Missing data
International audience; Missing data are inevitable in almost domains of applied sciences. Data analysis with missing values can lead to a loss of efficiency and unreliable results, especially for large missing sub-sequence(s). Some well-known methods for multivariate t...
views in local repository
downloads in local repository
The information is available from the following content providers: