@techreport{3597,
  title = {Training a Support Vector Machine in the Primal},
  abstract = {Most literature on Support Vector Machines (SVMs) concentrate on
  the dual optimization problem. In this paper, we would like to point out
  that the primal problem can also be solved efficiently, both for linear
  and non-linear SVMs, and there is no reason for ignoring it. Moreover, from
  the primal point of view, new families of algorithms for large scale SVM
  training can be investigated.},
  number = {147},
  organization = {Max-Planck-Gesellschaft},
  institution = {Max Planck Institute for Biological Cybernetics, Tübingen},
  school = {Biologische Kybernetik},
  month = apr,
  year = {2006},
  note = {The version in the "Large Scale Kernel Machines" book is more up to date.},
  slug = {3597},
  author = {Chapelle, O.},
  month_numeric = {4}
}