Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space.
Nello CristianiniJohn Shawe-TaylorPeter SykacekPublished in: ICML (1998)
Keyphrases
- hilbert space
- bayesian classifiers
- hyperplane
- maximum margin
- kernel function
- input space
- support vector machine
- support vector
- feature space
- training samples
- base classifiers
- data points
- naive bayes
- euclidean space
- principal components
- svm classifier
- kernel methods
- decision trees
- neural network
- training data
- reproducing kernel hilbert space
- discriminative learning
- cross validation
- high dimensional data
- data sets
- multi objective
- high dimensional
- pairwise
- training set