Bayesian Model and Dimension Reduction for Uncertainty Propagation: Applications in Random Media.
Constantin GrigoPhaedon-Stelios KoutsourelakisPublished in: SIAM/ASA J. Uncertain. Quantification (2019)
Keyphrases
- dimension reduction
- bayesian model
- conditional probabilities
- bayesian inference
- posterior distribution
- feature extraction
- principal component analysis
- bayesian framework
- high dimensional
- high dimensional data
- singular value decomposition
- cluster analysis
- low dimensional
- feature selection
- probability distribution
- linear discriminant analysis
- multi task learning
- unsupervised learning
- feature space
- probabilistic model
- high dimensionality
- bayesian networks
- decision trees
- data sets
- random variables
- preprocessing
- posterior probability
- parameter estimation