Supervised Dimension Reduction Using Bayesian Mixture Modeling.
Kai MaoFeng LiangSayan MukherjeePublished in: AISTATS (2010)
Keyphrases
- dirichlet distribution
- mixture modeling
- dimension reduction
- prior distribution
- unsupervised learning
- mixture model
- feature selection
- principal component analysis
- expectation maximization
- bayesian inference
- high dimensional
- supervised learning
- semi supervised
- high dimensional data
- feature extraction
- learning algorithm
- low dimensional
- generative model
- maximum likelihood
- linear discriminant analysis
- supervised classification
- bayesian methods
- cluster analysis
- high dimensionality
- feature space
- singular value decomposition
- gaussian mixture model
- probabilistic model
- object recognition
- bayesian networks
- em algorithm
- dimensionality reduction
- model selection
- density estimation
- active learning
- pattern recognition
- posterior probability
- training data
- preprocessing