@INPROCEEDINGS{RaeWarMikOnoLemMue00,
    author = {R{\"a}tsch, G. and Warmuth, M. and Mika, S. and Onoda, T. and Lemm, S. and M{\"u}ller, K.-R.},
    title = "Barrier Boosting",
    booktitle = "Proc. COLT'00",
    year = "2000",
    pages = "170--179",
    address = "Palo Alto",
    month = "February",
    publisher = "Morgan Kaufmann",
    abstract = "Boosting-type algorithms, e.g. AdaBoost or Arc-GV are particular iterative strategies to minimize a constrained objective function -- similar to Barrier algorithms. Based on this new understanding it is shown that convergence of Boosting becomes simpler to prove and we outline directions to develop further Boosting schemes. In particular a very natural Boosting technique for regression -- Eps-Boost -- is proposed.",
    editors = "N.\textasciitilde Cesa-Bianchi and S.\textasciitilde Goldmann",
    pdf = "http://doc.ml.tu-berlin.de/publications/publications/RaeWarMikOnoLemMue00.pdf",
    postscript = "http://doc.ml.tu-berlin.de/publications/publications/RaeWarMikOnoLemMue00.ps"
}