SLiKER: Sparse loss induced kernel ensemble regression.
Xiang-Jun ShenChenggong NiLiangjun WangZheng-Jun ZhaPublished in: Pattern Recognit. (2021)
Keyphrases
- sparse kernel
- relevance vector machine
- regression problems
- sparse regression
- covariance function
- gaussian processes
- kernel ridge regression
- reproducing kernel hilbert space
- square loss
- classification and regression problems
- gaussian process regression
- sparse bayesian learning
- additive models
- kernel matrices
- aggregating algorithm
- linear regression
- support vector
- kernel methods
- kernel function
- regression model
- kernel regression
- support vector machine
- ensemble learning
- canonical correlation analysis
- ensemble methods
- regression method
- input space
- cross validation
- genetic programming
- training data
- neural network
- multiple kernel learning
- base classifiers
- kernel matrix
- low rank
- nonlinear regression
- sparse representation
- high dimensional
- training set
- learning algorithm
- mercer kernels
- multiple kernel
- regression algorithm
- classifier ensemble
- gaussian process
- random forest
- loss function
- machine learning