A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators.
Sichen LiMélissa ZachariasJochem SnuverinkJaime Coello de PortugalFernando Pérez-CruzDavide ReggianiAndreas AdelmannPublished in: CoRR (2021)
Keyphrases
- pattern recognition
- classification accuracy
- supervised learning
- support vector machine svm
- weather forecasting
- short term
- image classification
- support vector
- feature extraction
- decision trees
- feature selection
- classification scheme
- automatic classification
- dynamic time warping
- classification rules
- classification method
- non stationary
- machine learning
- support vector machine
- long term
- benchmark datasets
- classification models
- model selection
- feature set
- financial time series
- forecasting accuracy