Dimension Reduction for Regression with Bottleneck Neural Networks.
Elina ParviainenPublished in: IDEAL (2010)
Keyphrases
- dimension reduction
- neural network
- partial least squares
- high dimensional
- principal component analysis
- feature extraction
- random projections
- low dimensional
- linear discriminant analysis
- pattern recognition
- singular value decomposition
- high dimensional problems
- feature selection
- variable selection
- regression model
- cluster analysis
- data mining and machine learning
- feature space
- high dimensional data analysis
- discriminative information
- high dimensional data
- dimensionality reduction
- artificial neural networks
- support vector
- high dimensionality
- regression algorithm
- manifold learning
- unsupervised learning
- dimension reduction methods
- self organizing maps
- least squares
- image data
- active learning
- machine learning