Pairwise learning problems with regularization networks and Nyström subsampling approach.
Cheng WangTing HuSiyang JiangPublished in: Neural Networks (2023)
Keyphrases
- learning problems
- pairwise
- learning tasks
- structured sparsity
- reproducing kernel hilbert space
- machine learning algorithms
- spectral clustering
- kernel methods
- learning algorithm
- supervised learning
- sample complexity
- semi supervised learning
- machine learning
- multi class
- kernel machines
- reinforcement learning
- semi supervised
- kernel matrix
- multi task learning
- multi task
- statistical learning theory
- computational learning theory
- loss function
- pac learning
- metric learning
- multiple kernel learning
- data mining
- similarity measure
- unlabeled data
- unsupervised learning
- markov random field
- higher order
- training data
- data sets
- graph cuts