Regularized Weighted Linear Regression for High-dimensional Censored Data.
Yan LiBhanukiran VinzamuriChandan K. ReddyPublished in: SDM (2016)
Keyphrases
- linear regression
- least squares
- high dimensional
- generalized linear models
- regression problems
- regression methods
- ridge regression
- locally weighted
- linear models
- low dimensional
- linear regression model
- computer vision
- kernel regression
- regression trees
- high dimensionality
- dimensionality reduction
- nonlinear regression
- machine learning
- multivariate regression
- feature space
- variable selection
- high dimensional data
- data points
- sparse regression
- input space
- training data