Low-Rank Feature Reduction and Sample Selection for Multi-output Regression.
Shichao ZhangLifeng YangYonggang LiYan LuoXiaofeng ZhuPublished in: ADMA (2016)
Keyphrases
- low rank
- feature reduction
- sample selection
- linear combination
- convex optimization
- active learning
- missing data
- matrix factorization
- semi supervised
- singular value decomposition
- text categorization
- support vector machine
- high order
- high dimensional data
- training data
- classification accuracy
- rough sets
- reduction method
- random forest
- input data
- semi supervised learning
- data sets
- feature set
- principal component analysis
- knn
- support vector
- neural network
- k nearest neighbor
- collaborative filtering
- decision trees
- learning algorithm
- machine learning