Kernel-based system identification with manifold regularization: A Bayesian perspective.
Mirko MazzoleniAlessandro ChiusoMatteo ScandellaSimone FormentinFabio PrevidiPublished in: Autom. (2022)
Keyphrases
- manifold regularization
- semi supervised learning
- semi supervised
- semi supervised classification
- dimension reduction
- data dependent
- matrix completion
- unlabeled data
- kernel methods
- reproducing kernel hilbert space
- bayesian networks
- unsupervised learning
- support vector machine
- labeled and unlabeled data
- labeled data
- support vector
- machine learning
- text classification
- nearest neighbor
- data sets
- linear combination
- multiple kernel learning
- nonnegative matrix factorization
- training data