Transductive Bayesian regression via manifold learning of prior data structure.
Hyejin ParkHeun A. KimSeung-Ho YangJaewook LeePublished in: Expert Syst. Appl. (2012)
Keyphrases
- manifold learning
- data structure
- semi supervised
- gaussian processes
- low dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- subspace learning
- regression model
- high dimensional
- gaussian process
- high dimensional data
- diffusion maps
- support vector
- semi supervised learning
- laplacian eigenmaps
- head pose estimation
- supervised learning
- dimension reduction
- model selection
- labeled data
- pairwise
- feature space
- manifold structure
- prior knowledge
- prior information
- feature extraction
- low dimensional manifolds
- machine learning
- low rank
- neural network
- support vector regression
- bayesian inference
- reproducing kernel hilbert space
- locally linear embedding
- text classification
- active learning
- preprocessing
- data analysis
- image processing
- manifold embedding