Dimensionality Reduction Via Graph Structure Learning.
Qi MaoLi WangSteve GoodisonYijun SunPublished in: KDD (2015)
Keyphrases
- structure learning
- dimensionality reduction
- graphical models
- bayesian networks
- conditional independence
- transfer learning
- principal component analysis
- parameter estimation
- parameter learning
- bayesian network structure learning
- low dimensional
- markov logic networks
- random walk
- high dimensional data
- graph theoretic
- structural learning
- high dimensional
- feature extraction
- directed acyclic graph
- sample size
- markov networks
- machine learning
- random variables
- directed graph
- network structure
- equivalence classes
- maximum likelihood estimation
- conditional probabilities
- least squares
- data points
- image segmentation