Confounder Detection in High-Dimensional Linear Models Using First Moments of Spectral Measures.
Furui LiuLaiwan ChanPublished in: Neural Comput. (2018)
Keyphrases
- linear models
- variable selection
- high dimensional
- additive models
- linear model
- linear regression
- dimension reduction
- gaussian processes
- object detection
- data points
- low dimensional
- nonlinear models
- high dimensionality
- cross validation
- data sets
- dimensionality reduction
- nearest neighbor
- feature space
- active learning
- support vector
- machine learning