Using Kernel Basis with Relevance Vector Machine for Feature Selection.
Frédéric SuardDavid MercierPublished in: ICANN (2) (2009)
Keyphrases
- relevance vector machine
- feature selection
- support vector machine
- gaussian processes
- bayesian learning
- sparse bayesian learning
- feature space
- nonlinear regression
- support vector
- multi task
- model selection
- kernel methods
- feature set
- multi class
- kernel function
- text categorization
- feature extraction
- information gain
- gaussian process
- knn
- multiple kernel learning
- decision trees
- data sets
- text classification
- dimensionality reduction
- hyperparameters
- classification accuracy
- machine learning