Sparse Least Squares Low Rank Kernel Machines.
Di XuManjing FangXia HongJunbin GaoPublished in: ICONIP (2) (2019)
Keyphrases
- low rank
- kernel machines
- sparse linear
- semi supervised
- least squares
- low rank matrix
- rank minimization
- singular value decomposition
- kernel matrix
- kernel learning
- linear combination
- semi supervised learning
- convex optimization
- support vector
- matrix factorization
- missing data
- high order
- multiple kernel learning
- kernel function
- labeled data
- unlabeled data
- learning machines
- active learning
- labeled and unlabeled data
- high dimensional data
- unsupervised learning
- supervised learning
- learning problems
- pairwise
- learning algorithm
- kernel methods
- data mining
- dimensionality reduction
- higher order
- support vector machine