Learning When the Concept Shifts: Confounding, Invariance, and Dimension Reduction.
Kulunu DharmakeerthiYoonHaeng HurTengyuan LiangPublished in: CoRR (2024)
Keyphrases
- dimension reduction
- data mining and machine learning
- learning process
- high dimensional data
- feature extraction
- unsupervised learning
- active learning
- manifold learning
- feature construction
- database
- supervised learning
- discriminative information
- high dimensional
- pairwise
- neural network
- principal component analysis
- high dimensional problems
- singular value decomposition
- support vector machine svm
- low dimensional
- least squares
- feature selection
- data sets