Forecasting Auroral Substorms from Observed Data with a Supervised Learning Algorithm.
Takanori TanakaDaisuke KitaoYuka SatoYoshimasa TanakaDaisuke IkedaPublished in: e-Science (2015)
Keyphrases
- learning algorithm
- supervised learning
- short term
- machine learning
- training data
- learning problems
- machine learning algorithms
- training examples
- active learning
- learning scheme
- exchange rate
- generalization ability
- data sets
- training samples
- weather forecasting
- labeled data
- long term
- learning process
- learning tasks
- semi supervised
- back propagation
- autoregressive model
- support vector regression
- early warning
- grey model
- membership queries
- medium term
- forecast models
- maximum margin
- learning rate
- prediction model
- transfer learning
- complex systems
- unsupervised learning
- pairwise
- reinforcement learning
- decision trees