Dimension reduction and its application to model-based exploration in continuous spaces.
Ali NouriMichael L. LittmanPublished in: Mach. Learn. (2010)
Keyphrases
- dimension reduction
- principal component analysis
- high dimensional
- feature extraction
- low dimensional
- manifold learning
- feature selection
- high dimensional data
- dimension reduction methods
- partial least squares
- high dimensional problems
- data mining and machine learning
- dimensionality reduction
- random projections
- variable selection
- singular value decomposition
- linear discriminant analysis
- high dimensional data analysis
- high dimensionality
- unsupervised learning
- pattern recognition
- sparse metric learning
- feature space
- preprocessing
- similarity measure