Generalized Feature Embedding for Supervised, Unsupervised, and Online Learning Tasks.
Eric GolinkoXingquan ZhuPublished in: Inf. Syst. Frontiers (2019)
Keyphrases
- learning tasks
- supervised learning
- learning algorithm
- unsupervised learning
- machine learning
- semi supervised
- meta learning
- learning problems
- training data
- multi task
- transfer learning
- multi task learning
- semi supervised learning
- learning experience
- multitask learning
- active learning
- training set
- labeled and unlabeled data
- training examples
- multi label
- feature vectors
- hypothesis space
- metric learning
- class labels
- reinforcement learning
- learning models
- unsupervised methods
- machine learning algorithms
- unlabeled data
- feature selection
- kernel methods
- multiple instance learning
- labeled data
- feature set
- image processing
- computer vision