@book{Vapnik95,
author    = {Vapnik, V},
title     = {The nature of statistical learning theory},
address   = {New York},
publisher = {Springer},
year      = {1995}
}

@book{Vapnik98,
author    = {Vapnik, V},
title     = {Statistical Learning Theory},
address   = {New York},
publisher = {Wiley},
year      = {1998}
}

@inproceedings{ChaVap00,
author = "Chapelle, O and Vapnik, V N",
title     = "Model Selection for {Support} {Vector} {Machines}",
booktitle = "Advances in Neural Information Processing Systems 12",
editor    = "Solla, S A and Leen, T K and Muller, K-R",
address   = "Cambridge, MA",
publisher = "MIT Press",
year      = "2000",
pages     = "230--236",
abstract = "New functionals for parameter (model) selection of Support
            Vector Machines are introduced based on the concepts of
            the span of support vectors and rescaling of the
            feature space."
}

@article{DuaKeePoo03,
author   = "Duan, K  and Keerthi, S S  and Poo, A N",
title    = "Evaluation of simple performance measures for tuning {SVM}
            hyperparameters",
journal  = "Neurocomputing",
year     = "2003",
volume   = "51",
pages    = "41-59",
abstract = "Choosing optimal hyperparameter values for support vector
            machines is an important step in svm design."
}