Login / Signup
Improving Time Series Prediction via Modification of Dynamic Weighted Majority in Ensemble Learning.
Marek Lóderer
Peter Pavlík
Viera Rozinajová
Published in:
IDEAL (1) (2018)
Keyphrases
</>
ensemble learning
weighted majority
base learners
ensemble methods
generalization ability
random forest
non stationary
artificial neural networks
majority vote
feature selection
base classifiers
text classification
prediction accuracy
cross validation
neural network model
concept drift
support vector