Bounds on Error Expectation for Support Vector Machines.
Vladimir VapnikOlivier ChapellePublished in: Neural Comput. (2000)
Keyphrases
- learning machines
- support vector
- large margin classifiers
- generalization error
- error bounds
- generalization bounds
- expected error
- error rate
- error tolerance
- cross validation
- logistic regression
- feature selection
- lower bound
- ensemble learning
- learning problems
- support vector regression
- generalization ability
- support vector machine
- upper bound
- kernel methods
- training error
- data dependent
- multi class
- learning algorithm
- upper and lower bounds
- lower and upper bounds
- binary classification
- model selection
- least squares
- kernel machines
- kernel function
- variance reduction
- sample size
- soft margin
- svm classifier
- training data
- machine learning