@INPROCEEDINGS{MikSmoSch01,
    author = {Mika, S. and Smola, A.J. and Sch\"olkopf, B.},
    editor = "Jaakkola, T. and Richardson, T.",
    title = "An Improved Training Algorithm for Kernel Fisher Discriminants",
    booktitle = "Proceedings AISTATS 2001",
    year = "2001",
    pages = "98--104",
    address = "San Francisco, CA",
    publisher = "Morgan Kaufmann",
    abstract = "We present a fast training algorithm for the kernel Fisher discriminant classifier. It uses a greedy approximation technique and has an empirical scaling behaviour which improves upon the state of the art by more than an order of magnitude, thus rendering the kernel Fisher algorithm a viable option also for large datasets.",
    pdf = "http://doc.ml.tu-berlin.de/publications/publications/MikSmoSch01.pdf",
    postscript = "http://doc.ml.tu-berlin.de/publications/publications/PS/MikSmoSch01.ps"
}