Support Vector Machines: Theory and Applications.
Theodoros EvgeniouMassimiliano PontilPublished in: Machine Learning and Its Applications (2001)
Keyphrases
- support vector
- learning machines
- large margin classifiers
- classification accuracy
- cross validation
- logistic regression
- theoretical framework
- structural risk minimization
- data sets
- theoretical basis
- theoretical foundation
- support vector machine
- loss function
- svm classifier
- kernel function
- training examples
- kernel methods
- least squares
- ls svm
- training data
- formal theory
- case study
- neural network