Sparse Low-Rank and Graph Structure Learning for Supervised Feature Selection.
Guoqiu WenYonghua ZhuMengmeng ZhanMalong TanPublished in: Neural Process. Lett. (2020)
Keyphrases
- low rank
- structure learning
- rank minimization
- low rank matrix
- low rank and sparse
- graphical models
- bayesian networks
- missing data
- convex optimization
- matrix factorization
- high dimensional data
- conditional independence
- linear combination
- singular value decomposition
- high order
- parameter estimation
- semi supervised
- transfer learning
- directed graph
- network structure
- neural network
- high dimensional
- random variables
- directed acyclic graph
- sample size
- sparse representation
- collaborative filtering
- social networks
- belief propagation
- labeled data
- probability distribution
- probabilistic model
- data mining