Traffic Prediction Based on Ensemble Machine Learning Strategies with Bagging and LightGBM.
Huiwei XiaXin WeiYun GaoHaibing LvPublished in: ICC Workshops (2019)
Keyphrases
- learning strategies
- ensemble methods
- prediction accuracy
- ensemble learning
- ensemble classifier
- random forest
- base classifiers
- ensemble members
- random forests
- online learning
- classifier ensemble
- ensemble selection
- ensemble classification
- neural network ensemble
- active learning
- majority voting
- learning machines
- training set
- imbalanced data
- decision trees
- class label noise
- randomized trees
- computer based instruction
- base learners
- generalization ability
- tree ensembles
- machine learning
- decision tree classifiers
- learning algorithm
- mental models
- traffic flow
- generalization error
- concept drift
- decision tree ensembles
- blended learning
- machine learning methods