High dimensional sequential regression on manifolds using adaptive hierarchical trees.
Farhan KhanIbrahim DelibaltaSuleyman Serdar KozatPublished in: MLSP (2015)
Keyphrases
- high dimensional
- low dimensional
- decision trees
- manifold learning
- feature space
- high dimensionality
- dimensionality reduction
- binary tree
- high dimensional data
- regression model
- linear regression
- similarity search
- regression trees
- euclidean space
- variable selection
- higher dimensional
- data points
- locally linear
- neural network
- regression algorithm
- input space
- dimension reduction
- model selection
- principal component analysis
- data sets
- support vector regression
- nearest neighbor search
- regression method
- multi dimensional
- low dimensional manifolds
- tree induction
- cell complexes
- multi variate