Incorporating Prior Knowledge into Boosting

  title={Incorporating Prior Knowledge into Boosting},
  author={Robert E. Schapire and Marie Rochery and Mazin G. Rahim and Narendra K. Gupta},
We describe a modi cation to the AdaBoost algorithm that permits the incorporation of prior human knowledge as a means of compensating for a shortage of training data. We give a convergence result for the algorithm, and we describe experiments on four datasets showing that prior knowledge can substantially improve performance. 
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ditive logistic regression : A statistical view of boost

  • G. Riccardi, J. H. Wright
  • The Annals of Statistics
  • 2000

Improved boosting algorithms using con dence-rated pre- dictions

  • Robert E. Schapire, Yoram Singer
  • Machine Learning,
  • 1999
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