Large Measurement Regression: Hierarchical Least Squares Multisplitting.
Gilles InghelbrechtKurt BarbéPublished in: I2MTC (2019)
Keyphrases
- least squares
- linear regression
- quantile regression
- ordinary least squares
- locally weighted
- support vector regression
- regression model
- parameter estimation
- optical flow
- robust estimation
- semi parametric
- genetic algorithm
- regression problems
- real time
- ridge regression
- hierarchical model
- levenberg marquardt
- regression algorithm
- curve fitting
- linear regression model
- partial least squares
- aggregating algorithm
- regression methods
- canonical correlation analysis
- reproducing kernel hilbert space
- hierarchical structure
- model selection
- support vector
- learning algorithm
- machine learning