#include <mlpack/prereqs.hpp>#include <mlpack/methods/perceptron/perceptron.hpp>#include <mlpack/methods/decision_tree/decision_tree.hpp>#include "adaboost_impl.hpp"
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Classes | |
| class | mlpack::adaboost::AdaBoost< WeakLearnerType, MatType > |
| The AdaBoost class. More... | |
Namespaces | |
| mlpack | |
| Linear algebra utility functions, generally performed on matrices or vectors. | |
Detailed Description
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:
@article{schapire1999improved,
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 http://www.opensource.org/licenses/BSD-3-Clause for more information.
