Forecasting SEP Events During Solar Cycles 23 and 24 Using Interpretable Machine Learning.
Spiridon KasapisIrina N. KitiashviliPaul KosovichAlexander G. KosovichevViacheslav M. SadykovPatrick O'KeefeVincent WangPublished in: CoRR (2024)
Keyphrases
- machine learning
- event detection
- machine learning methods
- weather forecasting
- inductive learning
- short term
- machine learning algorithms
- pattern recognition
- learning algorithm
- computer vision
- explanation based learning
- supervised learning
- text classification
- artificial intelligence
- model selection
- temporal information
- feature selection
- data mining
- event recognition
- machine learning approaches
- learning tasks
- natural language processing
- information extraction
- knowledge representation
- learning systems
- support vector
- semi supervised learning
- knowledge acquisition
- statistical methods
- support vector regression
- long term
- exchange rate
- event sequences
- active learning
- forecasting model
- autoregressive model
- artificial neural networks