High-Dimensional Sparse Graph Estimation by Integrating DTW-D Into Bayesian Gaussian Graphical Models.
Ying LiXiaojun XuJianbo LiPublished in: IEEE Access (2018)
Keyphrases
- gaussian graphical models
- high dimensional
- graphical models
- linear models
- similarity search
- dynamic time warping
- bayesian networks
- belief propagation
- low dimensional
- sparse data
- variable selection
- high dimensional data
- bayesian inference
- feature space
- generalized linear models
- maximum likelihood
- distance measure
- dimensionality reduction
- nearest neighbor
- gaussian processes
- high dimension
- active contours
- data sets
- high dimensionality
- dimension reduction
- data points
- feature selection
- additive models
- machine learning