Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting.
Tanwi MallickPrasanna BalaprakashEric RaskJane MacFarlanePublished in: ICPR (2020)
Keyphrases
- short term
- transfer learning
- neural network
- long term
- learning tasks
- medium term
- knowledge transfer
- electric load forecasting
- short term prediction
- cross domain
- machine learning
- short term and long term
- forecasting model
- active learning
- collaborative filtering
- labeled data
- learning algorithm
- multi task
- short and long term
- load forecasting
- pattern recognition
- artificial neural networks
- text classification
- semi supervised learning
- transfer knowledge
- stock market
- reinforcement learning
- back propagation
- text categorization
- arima model
- wind speed
- long term memory
- fuzzy logic
- unlabeled data
- target domain
- chaotic time series
- text mining
- information retrieval
- power generation
- feature selection
- fault diagnosis
- neural network model