Low-rank hypergraph feature selection for multi-output regression.
Xiaofeng ZhuRongyao HuCong LeiKim-Han ThungWei ZhengCan WangPublished in: World Wide Web (2019)
Keyphrases
- low rank
- feature selection
- high order
- missing data
- convex optimization
- matrix factorization
- linear combination
- matrix completion
- singular value decomposition
- low rank matrix
- rank minimization
- support vector
- kernel matrix
- model selection
- semi supervised
- trace norm
- data matrix
- regression model
- pairwise
- matrix decomposition
- high dimensional data
- machine learning
- higher order
- collaborative filtering
- low rank matrices
- minimization problems
- singular values
- feature subset
- input data
- text categorization
- dimensionality reduction
- mutual information
- multi task
- multi class
- text classification
- feature set
- loss function
- small number
- recommender systems
- feature extraction
- image processing
- data sets
- non rigid structure from motion