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adaboost.hpp File Reference
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Classes

class  AdaBoost< WeakLearnerType, MatType >
 The AdaBoost class. More...
 

Namespaces

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

Detailed Description

Author
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:

* @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.

Definition in file adaboost.hpp.