Supervised Principal Component Regression for Functional Responses with High Dimensional Predictors.
Xinyi ZhangQiang SunDehan KongPublished in: J. Comput. Graph. Stat. (2024)
Keyphrases
- high dimensional
- principal component regression
- kernel space
- partial least squares
- principal components
- dimensionality reduction
- low dimensional
- learning algorithm
- high dimensionality
- dimension reduction
- semi supervised
- nearest neighbor
- feature space
- unsupervised learning
- supervised learning
- parameter space
- data mining
- data points
- principal component analysis
- high dimensional data
- machine learning