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

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

  资源简介：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-cod...

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  上传时间： 2014-01-15

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

  资源简介：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

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

  资源简介：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 overwei...

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• AdaBoost is an efficient tool in machine learning. It can combine a series of weak learners into a s免费下载

  资源简介：AdaBoost is an efficient tool in machine learning. It can combine a series of weak learners into a strong learner. Besides pattern classification, it also can be applied into feature selection. This document explains the use of AdaBoost.

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