Learning Multiple Parameters for Kernel Collaborative Representation Classification.
Jianjun LiuZebin WuLiang XiaoHong YanPublished in: IEEE Trans. Neural Networks Learn. Syst. (2020)
Keyphrases
- supervised learning
- incremental learning
- support vector
- machine learning
- kernel learning
- learning systems
- active learning
- classification and regression problems
- neural network
- multiple tasks
- feature construction
- kernel machines
- learning algorithm
- learning process
- spatially localized
- bayes rule
- model selection
- pattern recognition
- discriminative learning
- feature space
- parameter values
- bayesian methods
- feature selection
- feature extraction
- radial basis function network
- learning phase
- component analysis
- multiple kernel learning
- multi task learning
- classification accuracy
- training set
- learning tasks
- kernel methods
- kernel function
- training samples
- unsupervised learning
- online learning
- text classification
- collaborative learning