Applying transfer learning and various ANN architectures to predict transportation mode choice in Amsterdam.
Ruurd BuijsThomas KochElenna R. DugundjiPublished in: ANT/EDI40 (2021)
Keyphrases
- transfer learning
- learning tasks
- artificial neural networks
- active learning
- knowledge transfer
- labeled data
- cross domain
- reinforcement learning
- manifold alignment
- machine learning
- text classification
- semi supervised learning
- learning algorithm
- transfer knowledge
- multi task learning
- domain adaptation
- collaborative filtering
- structure learning
- machine learning algorithms
- text categorization
- target domain
- neural network
- cross domain learning
- multi task
- text mining
- semi supervised
- databases
- domain specific
- information extraction
- feature space
- object recognition
- bayesian networks
- decision trees
- algorithmic information theory