Ensemble-based local learning for high-dimensional data regression.
Bisser RaytchevY. KatamotoM. KoujibaToru TamakiKazufumi KanedaPublished in: ICPR (2016)
Keyphrases
- high dimensional data
- low dimensional
- regression problems
- learning algorithm
- high dimensional
- neural network
- dimensionality reduction
- nearest neighbor
- high dimensionality
- supervised learning
- model selection
- dimension reduction
- data sets
- high dimensions
- data analysis
- similarity search
- data distribution
- nonlinear dimensionality reduction
- manifold learning
- variable weighting
- feature space
- small sample size
- high dimensional datasets
- linear discriminant analysis
- data mining
- training data