Nystrom Approximation for Sparse Kernel Methods: Theoretical Analysis and Empirical Evaluation.
Zenglin XuRong JinBin ShenShenghuo ZhuPublished in: AAAI (2015)
Keyphrases
- empirical evaluation
- kernel methods
- theoretical analysis
- error bounds
- kernel matrices
- multiple kernel
- feature space
- kernel function
- kernel matrix
- support vector
- support vector machine
- learning problems
- machine learning
- similarity function
- low rank approximation
- positive semi definite
- kernel pca
- learning tasks
- kernel trick
- kernel ridge regression
- reproducing kernel hilbert space
- high dimensional
- graph kernels
- kernel learning
- sparse coding
- discriminant analysis
- feature vectors
- tikhonov regularization
- feature selection
- learning algorithm