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Schapire

Schapire 所著的Boosting算法的教程。對目前物體識別和機器學習領域中廣泛應用的Boosting算法展開了深入淺出的描述

Schapire 所著的Boosting算法的教程。對目前物體識別和機器學習領域中廣泛應用的Boosting算法展開了深入淺出的描述，還有很多Toy Examples。

標簽： Boosting Schapire 算法教程

上傳時間： 2017-06-06

上傳用戶：tonyshao
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form

Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifier. icsiboost implements Adaboost over stumps (one-level decision trees) on discrete and continuous attributes (words and real values). See http://en.wikipedia.org/wiki/AdaBoost and the papers by Y. Freund and R. Schapire for more details [1]. This approach is one of most efficient and simple to combine continuous and nominal values. Our implementation is aimed at allowing training from millions of examples by hundreds of features in a reasonable time/memory.

標簽： meta-learning classifiers combining Boosting

上傳時間： 2016-01-30

上傳用戶：songnanhua
AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yo

AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.

標簽： well-known algorithm AdaBoost Adaptive

上傳時間： 2014-01-15

上傳用戶：qiaoyue
AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yo

AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files

標簽： well-known algorithm AdaBoost Adaptive

上傳時間： 2013-12-31

上傳用戶：jiahao131

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Schapire

Schapire 所著的Boosting算法的教程。對目前物體識別和機器學習領域中廣泛應用的Boosting算法展開了深入淺出的描述

Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form

AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yo

AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yo