Why Pay More When You Can Pay Less: A Joint Learning Framework for Active Feature Acquisition and Classification.
Hajin ShimSung Ju HwangEunho YangPublished in: CoRR (2017)
Keyphrases
- supervised learning
- learning process
- feature vectors
- multi category
- distance metric learning
- incremental learning
- pattern recognition
- learning phase
- learning algorithm
- support vector
- active learning
- kernel machines
- error correcting output codes
- design principles
- learning systems
- unsupervised learning
- online learning
- image classification
- learning frameworks
- preprocessing
- structured output
- feature weights
- reinforcement learning
- discriminative learning
- kernel learning
- discriminative features
- learning mechanism
- feature values
- learning scheme
- learning problems
- classification method