Learning the Kernel for Classification and Regression.
Chen LiLuca VenturiRuitu XuPublished in: CoRR (2017)
Keyphrases
- classification and regression problems
- support vector
- supervised learning
- kernel machines
- incremental learning
- learning process
- learning algorithm
- feature selection
- pattern recognition
- learning phase
- classification accuracy
- histogram intersection kernel
- locally weighted
- classification method
- model selection
- image classification
- training set
- unsupervised learning
- kernel ridge regression
- reinforcement learning
- feature vectors
- learning machines
- kernel learning
- machine learning
- text classification
- feature extraction
- structured output
- feature space
- radial basis function network
- regression problems
- learning tasks
- kernel methods
- support vector machine
- cross validation
- regression model
- online learning