Manifold regularized multiple kernel learning with Hellinger distance.
Tao YangDongmei FuXiaogang LiKamil RíhaPublished in: Clust. Comput. (2019)
Keyphrases
- multiple kernel learning
- linear combination
- kernel learning
- kernel methods
- kernel function
- learning problems
- semi supervised learning
- multiple kernel
- lp norm
- distance measure
- euclidean distance
- binary classification
- high dimensional
- feature selection
- group lasso
- distance function
- learning models
- low dimensional
- multi task
- feature space
- data points
- multiple features
- support vectors
- data sets