Quadratic mixed integer programming and support vectors for deleting outliers in robust regression.
George ZioutasLeonidas S. PitsoulisAntonios AvramidisPublished in: Ann. Oper. Res. (2009)
Keyphrases
- robust regression
- mixed integer programming
- support vectors
- support vector
- support vector machine
- kernel function
- input space
- linear regression
- training samples
- training dataset
- lot sizing
- mixed integer
- svm classifier
- hyperplane
- training data
- kernel matrix
- image derivatives
- training examples
- density estimation
- computational complexity
- pairwise
- semidefinite programming
- ls svm
- objective function
- machine learning
- training set
- feature space
- least squares
- feature selection
- learning algorithm