Application of Linear Regression Classification to low-dimensional datasets.
Mehmet KoçAtalay BarkanaPublished in: Neurocomputing (2014)
Keyphrases
- linear regression
- regression problems
- low dimensional
- least squares
- pattern recognition
- nonlinear regression
- high dimensional
- benchmark datasets
- decision trees
- linear regression model
- ridge regression
- pattern classification
- feature selection
- locally weighted
- regression methods
- text classification
- supervised learning
- feature space
- kernel density estimators
- input space
- regression analysis
- decision boundary
- dimensionality reduction
- regression method
- support vector machine
- face recognition
- machine learning