Applying a multistage of input feature combination to random forest for improving MRT passenger flow prediction.
Lijuan LiuRung-Ching ChenQiangfu ZhaoShunzhi ZhuPublished in: J. Ambient Intell. Humaniz. Comput. (2019)
Keyphrases
- multistage
- random forest
- feature importance
- feature set
- random forests
- decision trees
- prediction accuracy
- ensemble methods
- single stage
- passenger flow
- ensemble classifier
- stochastic programming
- dynamic programming
- feature ranking
- optimal policy
- decision tree learning algorithms
- feature space
- multi label
- ensemble learning
- feature vectors
- base classifiers
- machine learning methods
- benchmark datasets
- state space
- classification accuracy
- artificial neural networks
- reinforcement learning