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 convex potential function

The perils of being unhinged: On the accuracy of classifiers minimizing a noise-robust convex loss

Long, Philip M., Servedio, Rocco A.

arXiv.org Machine Learning

As van Rooyen et al. noted in the first sentence of the abstract of [vRMW15], "Convex potential minimisation is the de facto approach to binary classification." Given the ubiquity of this approach, it is natural to study its abilities and limitations in the presence of noise, andindeed this isthe subject of many works (see e.g.

  classifier, convex potential function, potential function, (15 more...)
2112.0459
  Country:
  Genre: Research Report (0.50)
  Technology: Information Technology > Artificial Intelligence > Machine Learning (1.00)

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A more robust boosting algorithm

Freund, Yoav

arXiv.org Machine Learning

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.

0905.2138
  Country:
  Genre: Research Report (0.65)
  Technology: Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (1.00)

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