Adaptive sparse graph learning based dimensionality reduction for classification.
Puhua ChenLicheng JiaoFang LiuZhiqiang ZhaoJiaqi ZhaoPublished in: Appl. Soft Comput. (2019)
Keyphrases
- incremental learning
- dimensionality reduction
- supervised learning
- learning process
- pattern recognition
- feature extraction
- high dimensionality
- adaptive learning
- decision trees
- learning problems
- feature space
- learning systems
- unsupervised learning
- multi category
- learning tasks
- machine learning algorithms
- active learning
- high dimensional
- reinforcement learning
- learning algorithm
- online learning
- support vector machine
- classification accuracy
- sparse representation
- training data
- e learning
- learning phase
- kernel learning
- discriminative learning
- neural network