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Found 4 papers, 2 papers with code
fETSmcs: Feature-based ETS model component selection
We evaluate our approach on the widely used forecasting competition data set M4, in terms of both point forecasts and prediction intervals.
A hybrid ensemble method with negative correlation learning for regression
It is also possible to improve the NCL ensemble with a regularization term in the objective function.
Crude oil price forecasting incorporating news text
Sparse and short news headlines can be arbitrary, noisy, and ambiguous, making it difficult for classic topic model LDA (latent Dirichlet allocation) designed for accommodating long text to discover knowledge from them.
Research and application of time series algorithms in centralized purchasing data
Based on the online transaction data of COSCO group's centralized procurement platform, this paper studies the clustering method of time series type data.
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