A Sparse Structure Learning Algorithm for Bayesian Network Identification from Discrete High-Dimensional Data.
Nazanin ShajoonnezhadAmin NikanjamPublished in: CoRR (2021)
Keyphrases
- high dimensional data
- structure learning algorithm
- bayesian networks
- continuous domains
- high dimensional
- structure learning
- conditional independence
- dimensionality reduction
- low dimensional
- nearest neighbor
- data analysis
- continuous variables
- probabilistic classifiers
- high dimensionality
- data sets
- dimension reduction
- higher dimensional
- input space
- subspace clustering
- linear discriminant analysis
- markov blanket
- variable selection
- graphical models
- probabilistic model
- data points
- probabilistic inference
- input data
- bayesian network classifiers
- conditional probabilities
- missing values
- causal relationships
- probability distribution
- feature space
- genetic algorithm
- random variables
- least squares
- regression problems