Using Machine Learning Techniques to Combine Forecasting Methods

By Ricardo Bastos Cavalcante Prudêncio, Teresa B Ludermir. 2004

37 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Management Science and Operations Research

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Christiane Lemke
2. Bogdan Gabrys
3. Marcin Budka

In Management Science and Operations Research

1. Christiane Lemke
2. Bogdan Gabrys
3. Marcin Budka

Citations in the corpus

• Metalearning: a survey of trends and technologies (2013, methodology): “Met-alearning for algorithm selection has also been investigated in the area of time series forecasting, where the term was first used in [48].”
• Meta-learning for time series forecasting and forecast combination (2010, methodology): “Two case studies are presented in [38]: In the first one, a C4.5 decision tree is used to link six features to the performance of two forecasting methods; in the second one, the NOEMON approach [25] is used for ranking three methods.”