Time series extrinsic regression. Predicting numeric values from time series data
DOI10.1007/s10618-021-00745-9zbMath1478.62269OpenAlexW3134882343MaRDI QIDQ2036749
Geoffrey I. Webb, François Petitjean, Chang Wei Tan, Christoph Bergmeir
Publication date: 30 June 2021
Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10618-021-00745-9
Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)
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- Deep learning for time series classification: a review
- A time series forest for classification and feature extraction
- Forecasting with exponential smoothing. The state space approach
- Estimator selection and combination in scalar-on-function regression
- Learning a symbolic representation for multivariate time series classification
- Time series classification with ensembles of elastic distance measures
- The BOSS is concerned with time series classification in the presence of noise
- Support-vector networks
- ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels
- FastEE: fast ensembles of elastic distances for time series classification
- A Comparison of Alternative Tests of Significance for the Problem of $m$ Rankings
- Random forests
- Methods for Scalar‐on‐Function Regression
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