Sparse Bayesian variable selection in kernel probit model for analyzing high-dimensional data.
Aijun YangYuzhu TianYunxian LiJinguan LinPublished in: Comput. Stat. (2020)
Keyphrases
- variable selection
- high dimensional data
- linear models
- high dimensional
- dimension reduction
- image processing
- probabilistic model
- data sets
- cross validation
- input data
- nearest neighbor
- pattern recognition
- singular value decomposition
- high dimensionality
- manifold learning
- linear regression
- input space
- ls svm
- data mining