Global Reweighting and Weight Vector Based Strategy for Multiclass Boosting

@inproceedings{Baig2012GlobalRA,
  title={Global Reweighting and Weight Vector Based Strategy for Multiclass Boosting},
  author={Mubasher Baig and Mian M. Awais},
  booktitle={ICONIP},
  year={2012}
}
Boosting is a generic statistical process for generating accurate classifier ensembles from moderately accurate learning algorithm. This paper presents a new generic boosting style procedure, M-Boost, for learning multiclass concepts. M-Boost uses a global strategy for selecting the weak classifier, a global weight reassignment strategy, a vector valued… CONTINUE READING