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Using Machine Learning Techniques to Combine Forecasting Methods
7 references·0 citing·29 second hop
Using Machine Learning Techniques to Combine Forecasting Methods (2004)Using Machine Learning Techniques to Comb…Rule-based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations (2007)Rule-based Forecasting: Devel…Meta-learning approaches to selecting time series models (2004)Meta-learning approaches to s…The M3-Competition: results, conclusions and implications (2000)The M3-Competition: results, …Review of guidelines for the use of combined forecasts (2000)Review of guidelines for the …An intelligent model selection and forecasting system (1999)An intelligent model selectio…Selecting appropriate forecasting models using rule induction (1994)Selecting appropriate forecas…Improved methods of combining forecasts (1984)Improved methods of combining…The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)Meta-learning with neural networks and landmarking for forecasting model selection an empirical evaluation of different feature sets applied to industry data (2016)FFORMPP: Feature-based forecast model performance prediction (2021)Forecasting: Methods and Applications. (1979)Forecasting methods and applications (1993)Selecting IT applications in manufacturing: a KBS approach (1999)Combining forecasts: A review and annotated bibliography (1989)25 years of time series forecasting (2006)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)The Combination of Forecasts (1969)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Forecasting monthly and quarterly time series using STL decomposition (2011)Computing electricity spot price prediction intervals using quantile regression and forecast averaging (2014)Hybrid structures in time series modeling and forecasting: A review (2019)Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control (1977)Forecasting Agricultural Commodity Prices Using Model Selection Framework With Time Series Features and Forecast Horizons (2020)Classification-based model selection in retail demand forecasting (2021)Meta‐learning how to forecast time series (2023)Protocol Analysis: Verbal Reports as Data (1986)Combining forecasts: A review and annotated bibliography (1990)A prototype expert system for the evaluation and selection of potential suppliers (1996)Meta-learning for time series forecasting and forecast combination (2010)Forecasting Output and Inflation: The Role of Asset Prices (2003)Combination forecasts of output growth in a seven‐country data set (2004)Forecasting: theory and practice (2022)
this work references cited by second hop

References

  • 2000The M3-Competition: results, conclusions and implications1,700 cited
  • 1984Improved methods of combining forecasts1,152 cited
  • 2007Rule-based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations277 cited
  • 2000Review of guidelines for the use of combined forecasts241 cited
  • 2004Meta-learning approaches to selecting time series models147 cited
  • 1994Selecting appropriate forecasting models using rule induction53 cited
  • 1999An intelligent model selection and forecasting system43 cited

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