Efficient and Robust Bayesian Selection of Hyperparameters in Dimension Reduction for Visualization.
Yin-Ting LiaoHengrui LuoAnna MaPublished in: CoRR (2023)
Keyphrases
- dimension reduction
- hyperparameters
- posterior distribution
- maximum likelihood
- principal component analysis
- bayesian inference
- model selection
- linear discriminant analysis
- gaussian processes
- cross validation
- cluster analysis
- low dimensional
- bayesian framework
- feature selection
- high dimensional
- high dimensionality
- bayesian networks
- prior information
- feature extraction
- singular value decomposition
- high dimensional data
- support vector
- manifold learning
- pattern recognition
- random sampling
- unsupervised learning
- closed form
- em algorithm
- dimensionality reduction
- clustering algorithm
- maximum a posteriori
- natural images
- least squares
- active learning
- preprocessing
- data analysis
- gaussian process