Model selection based product kernel learning for regression on graphs.
Madeleine SeelandStefan KramerBernhard PfahringerPublished in: SAC (2013)
Keyphrases
- model selection
- kernel learning
- kernel matrix
- regression model
- cross validation
- support vector regression
- parameter estimation
- kernel function
- sample size
- multiple kernel learning
- hyperparameters
- machine learning
- feature selection
- semi supervised
- pairwise constraints
- variable selection
- kernel methods
- generalization error
- gaussian process
- dimensionality reduction
- learning tasks
- pairwise
- linear regression
- metric learning
- classification accuracy
- machine learning algorithms
- unsupervised learning