Unsupervised Representation Learning for Smart Transportation.
Thabang LebeseCécile MattrandDavid ClairJean-Marc BourinetFrançois DeheegerPublished in: IDA (2) (2024)
Keyphrases
- supervised learning
- learning algorithm
- learning systems
- unsupervised learning
- learning process
- learning tasks
- empirical studies
- genetic algorithm
- learning problems
- knowledge representation
- hidden markov models
- data sets
- knowledge acquisition
- online learning
- state space
- background knowledge
- learning scenarios
- inductive learning
- learning analytics
- inductive inference
- transportation systems
- deep architectures