Semantic Feature Learning for Heterogeneous Multitask Classification via Non-Negative Matrix Factorization.
Fuzhen ZhuangXuebing LiXin JinDapeng ZhangLirong QiuQing HePublished in: IEEE Trans. Cybern. (2018)
Keyphrases
- multi task
- learning tasks
- supervised learning
- negative matrix factorization
- learning algorithm
- multi task learning
- decision trees
- classification accuracy
- feature selection
- reinforcement learning
- support vector
- learning process
- active learning
- learning problems
- machine learning
- semantic features
- feature space
- unsupervised learning
- image processing
- image classification
- matrix factorization
- clustering algorithm
- multi class
- prior knowledge