Computational Learning Theory : Fourth European Conference

نویسنده

  • Robert E. Schapire
چکیده

Boosting is a general method for improving the accuracy of any given learning algorithm. Focusing primarily on the AdaBoost algorithm , we brieey survey theoretical work on boosting including analyses of AdaBoost's training error and generalization error, connections between boosting and game theory, methods of estimating probabilities using boosting, and extensions of AdaBoost for multiclass classiication problems. We also brieey mention some empirical work.

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تاریخ انتشار 1999