Sparse Least Squares Low Rank Kernel Machines.
Manjing FangDi XuXia HongJunbin GaoPublished in: CoRR (2019)
Keyphrases
- low rank
- kernel machines
- sparse linear
- semi supervised
- least squares
- low rank matrix
- singular value decomposition
- rank minimization
- kernel matrix
- missing data
- linear combination
- convex optimization
- matrix factorization
- semi supervised learning
- kernel learning
- support vector
- high dimensional data
- reproducing kernel hilbert space
- multiple kernel learning
- labeled data
- high order
- learning machines
- kernel function
- pairwise
- unsupervised learning
- unlabeled data
- collaborative filtering
- support vector machine
- active learning
- gaussian process
- domain adaptation
- data sets
- labeled and unlabeled data
- high dimensional
- pattern recognition