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Meta-learning for time series forecasting and forecast combination · Study

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ArticleMeta-learning for time series forecasting and forecast combination

Bogdan Gabryś2010

OA

Articlegreen2010

Meta-learning for time series forecasting and forecast combination

244 citations·0/0 files stored·Neurocomputing

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Forecasting Techniques and Applications Stock Market Forecasting Methods Time Series Analysis and Forecasting

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References

1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting 1998Forecasting with artificial neural networks:1993Forecasting methods and applications 2000The M3-Competition: results, conclusions and implications 1985Exponential smoothing: The state of the art 2006Chapter 4 Forecast Combinations 2013Handbook of Economic Forecasting 2006Exponential smoothing: The state of the art—Part II

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2013A combination of artificial neural network and random walk models for financial time series forecasting 2020Retail sales forecasting with meta-learning 2018Optimal Forecast Combination Based on Neural Networks for Time Series Forecasting 2015A neural network based linear ensemble framework for time series forecasting 2020Forecasting Agricultural Commodity Prices Using Model Selection Framework With Time Series Features and Forecast Horizons 2023Meta‐learning how to forecast time series

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Details

Year2010

Typearticle

Published2010-03-09

VenueNeurocomputing

ISSN-L0925-2312

Languageen

Citations244

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/j.neucom.2009.09.020

openalex_workW2079560958

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2018Another look at forecast selection and combination: Evidence from forecast pooling

2016Distributions of forecasting errors of forecast combinations: Implications for inventory management