Regularizing AdaBoost
Rätsch, Gunnar, Onoda, Takashi, Müller, Klaus R.
–Neural Information Processing Systems
We will also introduce a regularization strategy(analogous to weight decay) into boosting. This strategy uses slack variables to achieve a soft margin (section 4). Numerical experiments show the validity of our regularization approach in section 5 and finally a brief conclusion is given. 2 AdaBoost Algorithm Let {ht(x): t 1, ...,T} be an ensemble of T hypotheses defined on input vector x and e
Neural Information Processing Systems
Dec-31-1999