adaboost.hpp File Reference
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class  AdaBoost< WeakLearnerType, MatType >
 The AdaBoost class. More...



Linear algebra utility functions, generally performed on matrices or vectors.

Detailed Description

Udit Saxena

The AdaBoost class. AdaBoost is a boosting algorithm, meaning that it combines an ensemble of weak learners to produce a strong learner. For more information on AdaBoost, see the following paper:

author = {Schapire, Robert E. and Singer, Yoram},
title = {Improved Boosting Algorithms Using Confidence-rated Predictions},
journal = {Machine Learning},
volume = {37},
number = {3},
month = dec,
year = {1999},
issn = {0885-6125},
pages = {297--336},

mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-clause BSD license. You should have received a copy of the 3-clause BSD license along with mlpack. If not, see for more information.

Definition in file adaboost.hpp.