On dimensionality reduction via partial least squares for Kriging-based reliability analysis with active learning.
Lavi Rizki ZuhalGhifari Adam FazaPramudita Satria PalarRhea Patricia LiemPublished in: Reliab. Eng. Syst. Saf. (2021)
Keyphrases
- partial least squares
- reliability analysis
- dimensionality reduction
- active learning
- dimension reduction
- principal component analysis
- discriminant analysis
- linear discriminant analysis
- low dimensional
- high dimensional data
- high dimensional
- feature extraction
- high dimensionality
- dimensionality reduction methods
- principal components
- machine learning
- pattern recognition
- principal component regression
- unsupervised learning
- supervised learning
- training set
- feature space
- data points
- singular value decomposition
- semi supervised
- independent component analysis
- feature selection
- random sampling
- learning algorithm
- face recognition
- ls svm
- power plant
- factor analysis
- correlation coefficient
- variable selection