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Empirical Study on the Impact of Different Sets of Parameters of Gradient Boosting Algorithms for Time-Series Forecasting with LightGBM.

Filipa BarrosVítor CerqueiraCarlos Soares
Published in: PRICAI (1) (2021)
Keyphrases
  • empirical studies
  • boosting algorithms
  • multi class
  • loss function
  • cost sensitive
  • parameter selection
  • weak learners
  • object recognition
  • pairwise
  • artificial neural networks
  • feature vectors
  • weak classifiers