A Bayesian approach to localized multi-kernel learning using the relevance vector machine.
Ryan CloseJoseph N. WilsonPaul D. GaderPublished in: IGARSS (2011)
Keyphrases
- kernel learning
- relevance vector machine
- kernel function
- support vector machine
- multiple kernel learning
- kernel matrix
- gaussian processes
- bayesian learning
- kernel methods
- learning tasks
- support vector regression
- multi task learning
- dimensionality reduction
- kernel machines
- semi supervised
- model selection
- pairwise constraints
- data sets
- distance metric
- machine learning