Manifold regularization for structured outputs via the joint kernel.
Chonghai HuJames T. KwokPublished in: IJCNN (2010)
Keyphrases
- manifold regularization
- semi supervised learning
- reproducing kernel hilbert space
- semi supervised
- semi supervised classification
- matrix completion
- dimension reduction
- regularized least squares
- kernel function
- kernel learning
- data dependent
- kernel methods
- labeled and unlabeled data
- feature space
- nonnegative matrix factorization
- labeled data
- learning theory
- unlabeled data
- support vector
- multiple kernel learning
- graph kernels
- input space
- kernel matrix
- low rank
- machine learning
- loss function
- feature selection
- euclidean space
- learning tasks
- linear combination
- special case
- objective function