Hyperplane margin classifiers on the multinomial manifold.
Guy LebanonJohn D. LaffertyPublished in: ICML (2004)
Keyphrases
- hyperplane
- separating hyperplane
- decision boundary
- support vector
- maximal margin
- linear classifiers
- maximum margin
- feature space
- training samples
- fisher information
- svm classifier
- support vector machine
- data points
- principal components
- linear separability
- classification procedure
- naive bayes
- kernel function
- training set
- linearly separable
- principal direction
- support vectors
- input space
- high dimensional
- perceptron algorithm
- convex hull
- text classification
- low dimensional
- euclidean space
- kernel methods
- linear svm
- half spaces
- classification accuracy
- normal vectors
- decision function
- soft margin
- neural network
- training examples
- training data