An evaluation of neural network ensembles and model selection for time series prediction
By Devon K. Barrow, Sven F. Crone, Nikolaos Kourentzes. 2010
43 citations recorded by the source corpus.
Subfields: Artificial Intelligence, 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 Artificial Intelligence
- Christoph Bergmeir
- Kasun Bandara
- Slawek Smyl
- Devon K. Barrow
- Xin Yao
- Kazuyuki Murase
- M. Islam
- Nikolaos Kourentzes
In Management Science and Operations Research
- Christoph Bergmeir
- Kasun Bandara
- Slawek Smyl
- Devon K. Barrow
- Sven F. Crone
- Nikolaos Kourentzes
- Kazuyuki Murase
- Md. Mustafizur Rahman
Citations in the corpus
- Forecasting Across Time Series Databases using Long Short-Term Memory Networks on Groups of Similar Series (2017, background): “Ns with ensemble architectures for time series forecasting (Crone et al., 2011; Rahman et al., 2016; Barrow and Crone, 2016; Kourentzes et al., 2014b; Ben Taieb et al., 2011; Zhang and Berardi, 2001; Barrow et al., 2010). In general, ensembles generate multiple versions of predictors, which when com”
- Layered Ensemble Architecture for Time Series Forecasting (2016, background): “networks) manually (see [32], [43]).”
- Neural network ensemble operators for time series forecasting (2014, methodology): “…of selecting a single NN that may be susceptible to poor initial values (or model setup), it is preferable to consider a combination of different NN models (Hansen and Salamon, 1990; Zhang and Berardi, 2001; Versace et al., 2004; Barrow et al., 2010; Crone et al., 2011; Ben Taieb et al., 2012).”
- Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach (2017, background): “There has been an increasing popularity of NNs with ensemble architectures for time series forecasting (Crone et al., 2011; Rahman et al., 2016; Barrow and Crone, 2016; Kourentzes et al., 2014b; Ben Taieb et al., 2011; Zhang and Berardi, 2001; Barrow et al., 2010).”