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stat.MLMay 13, 2009
93
citations (OpenAlex)
authors
  • Yoav Freund
arXiv abstractPDF
paper

A more robust boosting algorithm

arXiv:0905.2138

Abstract

We present a new boosting algorithm, motivated by the large margins theory for boosting. We give experimental evidence that the new algorithm is significantly more robust against label noise than existing boosting algorithm.

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  • Non-Convex Boosting Overcomes Random Label Noise
  • A Semi-Supervised Method for Predicting Cancer Survival Using Incomplete Clinical Data
  • Homotopy Continuation Approaches for Robust SV Classification and Regression
  • CCMN: A General Framework for Learning with Class-Conditional Multi-Label Noise
  • Vote-boosting ensembles
  • Robust Semi-Supervised Graph Classifier Learning with Negative Edge Weights
  • Robust Boosting for Regression Problems
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