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v-Arc: Ensemble Learning in the Presence of Outliers

2000

Conference Paper

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AdaBoost and other ensemble methods have successfully been applied to a number of classification tasks, seemingly defying problems of overfitting. AdaBoost performs gradient descent in an error function with respect to the margin, asymptotically concentrating on the patterns which are hardest to learn. For very noisy problems, however, this can be disadvantageous. Indeed, theoretical analysis has shown that the margin distribution, as opposed to just the minimal margin, plays a crucial role in understanding this phenomenon. Loosely speaking, some outliers should be tolerated if this has the benefit of substantially increasing the margin on the remaining points. We propose a new boosting algorithm which allows for the possibility of a pre-specified fraction of points to lie in the margin area or even on the wrong side of the decision boundary.

Author(s): Rätsch, G. and Schölkopf, B. and Smola, AJ. and Müller, K-R. and Onoda, T. and Mika, S.
Book Title: Advances in Neural Information Processing Systems 12
Journal: Advances in Neural Information Processing Systems
Pages: 561-567
Year: 2000
Month: June
Day: 0
Editors: SA Solla and TK Leen and K-R M{\"u}ller
Publisher: MIT Press

Department(s): Empirical Inference
Bibtex Type: Conference Paper (inproceedings)

Event Name: 13th Annual Neural Information Processing Systems Conference (NIPS 1999)
Event Place: Denver, CO, USA

Address: Cambridge, MA, USA
Digital: 0
ISBN: 0-262-11245-0
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik

Links: PDF
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BibTex

@inproceedings{818,
  title = {v-Arc: Ensemble Learning in the Presence of Outliers},
  author = {R{\"a}tsch, G. and Sch{\"o}lkopf, B. and Smola, AJ. and M{\"u}ller, K-R. and Onoda, T. and Mika, S.},
  journal = {Advances in Neural Information Processing Systems},
  booktitle = {Advances in Neural Information Processing Systems 12},
  pages = {561-567},
  editors = {SA Solla and TK Leen and K-R M{\"u}ller},
  publisher = {MIT Press},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  address = {Cambridge, MA, USA},
  month = jun,
  year = {2000},
  month_numeric = {6}
}