Tackling outliers in granular box regression.
Georg PetersZdravko LacicPublished in: Inf. Sci. (2012)
Keyphrases
- robust regression
- regression model
- outlier detection
- linear regression
- granular computing
- data points
- regression analysis
- support vector regression
- missing data
- regression algorithm
- simple linear
- robust statistics
- fuzzy sets
- gaussian processes
- rough sets
- support vector
- regression problems
- case study
- regression method
- regression methods
- gaussian process regression
- locally weighted
- database
- gaussian convolution
- noisy data
- model selection
- multiple regression
- partial least squares
- multi variate
- outlier removal
- decision making