General-Purpose Automated Machine Learning for Transportation: A Case Study of Auto-sklearn for Traffic Forecasting.
Juan S. Angarita-ZapataAntonio D. MasegosaIsaac TrigueroPublished in: IPMU (2) (2020)
Keyphrases
- general purpose
- machine learning
- transportation systems
- transportation networks
- special purpose
- intelligent transportation systems
- incident detection
- short term
- network traffic
- semi automated
- real time
- machine learning algorithms
- decision trees
- case study
- machine learning methods
- test bed
- pattern recognition
- artificial intelligence
- computational intelligence
- domain specific
- public transportation
- traffic volume
- traffic management
- application specific
- data mining
- computer vision
- model selection
- support vector regression
- traffic flow
- text classification
- exchange rate
- learning systems
- reinforcement learning
- data analysis
- computer science
- supervised learning
- weather forecasting
- feature selection
- decision making
- active learning
- tightly coupled
- text mining
- explanation based learning
- road network