Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression.
Sichen LiJochem SnuverinkFernando Pérez-CruzAndreas AdelmannPublished in: CoRR (2023)
Keyphrases
- linear regression
- ridge regression
- support vector regression
- regression model
- model selection
- generalized linear models
- regression coefficients
- logistic regression
- group lasso
- regression methods
- short term
- least squares
- generalized regression neural network
- regression problems
- machine learning
- prediction model
- regularized regression
- feature selection
- weather forecasting
- regression analysis
- parallel implementation
- ls svm
- linear models
- regression algorithm
- cross validation
- survival data
- compute intensive
- artificial neural networks
- locally weighted
- long term
- regression function
- forecasting model
- survival analysis
- support vector machine svm
- simple linear
- sparse representation
- hybrid model
- variable selection
- financial time series
- support vector machine
- partial least squares
- exchange rate
- support vector
- stock market
- neural network