A split-and-conquer variable selection approach for high-dimensional general semiparametric models with massive data.
Jianglin FangPublished in: J. Multivar. Anal. (2023)
Keyphrases
- variable selection
- high dimensional
- massive data
- model selection
- cross validation
- semi parametric
- statistical inference
- dimension reduction
- similarity search
- feature space
- learning algorithm
- high dimensional data
- support vector machine svm
- dimensionality reduction
- probabilistic model
- data mining applications
- data analysis
- pattern recognition
- decision trees
- neural network