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A study on Ensemble Learning for Time Series Forecasting and the need
  for Meta-Learning

A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning

23 April 2021
J. Gastinger
S. Nicolas
Dusica Stepic
Mischa Schmidt
A. Schulke
    AI4TS
ArXivPDFHTML

Papers citing "A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning"

4 / 4 papers shown
Title
Combining Forecasts using Meta-Learning: A Comparative Study for Complex Seasonality
Combining Forecasts using Meta-Learning: A Comparative Study for Complex Seasonality
Grzegorz Dudek
AI4TS
38
1
0
11 Apr 2025
A Scalable and Transferable Time Series Prediction Framework for Demand
  Forecasting
A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting
Young-Jin Park
Donghyun Kim
Frédéric Odermatt
Juho Lee
KyungHyun Kim
AI4TS
29
3
0
29 Feb 2024
Theoretical Guarantees of Learning Ensembling Strategies with
  Applications to Time Series Forecasting
Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting
Hilaf Hasson
Danielle C. Maddix
Yuyang Wang
Gaurav Gupta
Youngsuk Park
UQCV
AI4TS
FedML
17
3
0
25 May 2023
Ensemble Modeling for Time Series Forecasting: an Adaptive Robust
  Optimization Approach
Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach
Dimitris Bertsimas
L. Boussioux
AI4TS
27
4
0
09 Apr 2023
1