Least squares support vector machine with self-organizing multiple kernel learning and sparsity.
Chang LiuLixin TangJiyin LiuPublished in: Neurocomputing (2019)
Keyphrases
- multiple kernel learning
- least squares support vector machine
- ls svm
- linear combination
- support vectors
- neural network
- kernel learning
- kernel methods
- kernel machines
- semi supervised learning
- kernel function
- feature selection
- support vector machine
- learning problems
- generalization ability
- multi task
- variable selection
- high dimensional
- pairwise
- learning models
- probabilistic model
- multiple features
- prior knowledge
- semi supervised
- small number