Adaptive structure learning for low-rank supervised feature selection.
Yonghua ZhuXuejun ZhangRongyao HuGuoqiu WenPublished in: Pattern Recognit. Lett. (2018)
Keyphrases
- low rank
- structure learning
- bayesian networks
- graphical models
- supervised feature selection
- matrix factorization
- missing data
- linear combination
- convex optimization
- conditional independence
- semi supervised
- singular value decomposition
- transfer learning
- high order
- high dimensional data
- parameter estimation
- network structure
- sample size
- data sets
- unsupervised learning
- data analysis
- random variables
- semi supervised learning
- text classification
- probability distribution
- probabilistic model
- pairwise
- reinforcement learning
- neural network