Structure learning and universal coding when missing values exist.
Joe SuzukiPublished in: ISIT (2016)
Keyphrases
- missing values
- structure learning
- graphical models
- bayesian networks
- incomplete data
- missing data
- conditional independence
- transfer learning
- data imputation
- parameter estimation
- markov networks
- sample size
- belief propagation
- network structure
- markov blanket
- high dimensional data
- hidden variables
- image processing
- learning algorithm
- higher order
- least squares
- feature extraction
- knowledge base
- social networks