@TECHREPORT{RaeOnoMue98,
    author = {R{\"a}tsch, G. and Onoda, T. and M{\"u}ller, K.--R.},
    title = "Soft Margins for AdaBoost",
    institution = "Royal Holloway College",
    year = "1998",
    type = {{<a href="http://www.neurocolt.org" target="\_top">NeuroCOLT</a>} {Technical} {Report}},
    number = "NC-TR-1998-021",
    address = "University of London, UK",
    note = "to appear in Machine Learning",
    abstract = "This paper shows that although AdaBoost rarely overfits in the low noise regime it clearly does so for higher noise levels. We propose several regularization methods and generalizations of the original AdaBoost algorithm to achieve a soft margin -- a concept known from Support Vector learning. Extensive simulations demonstrate that the proposed regularized AdaBoost-type algorithms are useful and competitive for noisy data.",
    pdf = "http://ida.first.fhg.de/\\textasciitilde {}raetsch/ps/Neurocolt\_Margin.pdf",
    postscript = "http://ida.first.fhg.de/\\textasciitilde {}raetsch/ps/Neurocolt\_Margin.ps.gz"
}