Using meta-learning to establish a highly transferable driving speed prediction model from the visual road environment.
Bo YuXiangyu FengYou KongYuren ChenZeyang ChengShan BaoPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- prediction model
- meta learning
- inductive learning
- meta knowledge
- learning tasks
- regression model
- model selection
- machine learning algorithms
- traffic safety
- autonomous driving
- decision trees
- metamodel
- neural network
- data sets
- machine learning
- traffic accidents
- learning experience
- software engineering
- case study
- multi class
- feature selection
- exponential smoothing