Inferring Two-Level Hierarchical Gaussian Graphical Models to Discover Shared and Context-Specific Conditional Dependencies from High-Dimensional Heterogeneous Data.
Mohammad S. RahmanAnn E. NicholsonGholamreza HaffariPublished in: SN Comput. Sci. (2020)
Keyphrases
- heterogeneous data
- context specific
- gaussian graphical models
- conditional dependencies
- graphical models
- high dimensional
- belief propagation
- high dimensional data
- data integration
- data management
- data sources
- databases
- probabilistic model
- low dimensional
- random variables
- metadata
- complex data
- conditional independence
- domain specific
- bayesian networks
- dimensionality reduction
- nearest neighbor
- feature space
- data points
- variable selection
- training data
- pairwise
- dimension reduction
- web data
- influence diagrams