Intrinsic Bayesian model for high-dimensional unsupervised reduction.
Longcun JinWanggen WanYongliang WuBin CuiXiaoqing YuPublished in: Neurocomputing (2012)
Keyphrases
- bayesian model
- high dimensional
- bayesian inference
- bayesian framework
- dirichlet process mixture models
- conditional probabilities
- low dimensional
- posterior distribution
- multi task learning
- dimensionality reduction
- high dimensional data
- dirichlet process
- bayesian models
- data points
- supervised learning
- unsupervised learning
- semi supervised
- parameter space
- posterior probability
- feature space
- pairwise