A Sparse Structure Learning Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data.
Shuai HuangJing LiJieping YeAdam FleisherKewei ChenTeresa WuEric ReimanPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2013)
Keyphrases
- high dimensional data
- structure learning algorithm
- bayesian networks
- high dimensional
- structure learning
- conditional independence
- low dimensional
- dimensionality reduction
- high dimensionality
- data sets
- nearest neighbor
- probabilistic classifiers
- data analysis
- graphical models
- subspace clustering
- continuous domains
- data points
- markov blanket
- dimension reduction
- variable selection
- probabilistic model
- missing values
- linear discriminant analysis
- parameter estimation
- bayesian network classifiers
- face recognition
- probability distribution
- conditional probabilities
- probabilistic inference
- computer vision
- maximum likelihood
- pattern recognition
- regression problems
- em algorithm
- input data
- causal relationships
- approximate inference
- naive bayes
- feature space
- random variables