Sparse Sufficient Dimension Reduction for Markov Blanket Discovery.
Xiaomao LiJianxin YinPublished in: Commun. Stat. Simul. Comput. (2016)
Keyphrases
- dimension reduction
- markov blanket
- variable selection
- high dimensional
- causal discovery
- feature selection
- sparse metric learning
- bayesian networks
- principal component analysis
- low dimensional
- discovery process
- feature extraction
- causal relationships
- high dimensionality
- high dimensional data
- causal models
- singular value decomposition
- dimensionality reduction
- structure learning
- feature space
- bayesian network classifiers
- unsupervised learning
- approximate inference
- knowledge discovery
- cluster analysis
- conditional independence
- data sets
- nearest neighbor
- data mining
- linear discriminant analysis
- graphical models
- semi supervised
- support vector machine
- pattern recognition
- causal graph
- image processing
- machine learning