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AdaBoost - Wikipedia, the free encyclopedia

日期：2024-04-16

AdaBoost, short for "Adaptive Boosting", is a machine learning meta-algorithm formulated by Yoav Freund and Robert Schapire who won the prestigious "Gödel Prize" in 2003 for their work. It can be used in conjunction with many other types of learning algor...

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AdaBoost - MATLAB

日期：2024-04-16

Learn about MATLAB support for AdaBoost. Resources include examples, documentation, and code describing different boosting algorithms. ... AdaBoost is a predictive algorithm for classification and regression. AdaBoost (adaptive boosting) is an ensemble .....

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AdaBoost Toolbox: A MATLAB Toolbox for Adaptive Boosting

日期：2024-04-16

do exist, this toolbox has been designed with two goals in mind: ease of use and exibilit.y It has been designed to be exible by o ering a generic AdaBoost class that is easily extendable. Multiple aspects of the algorithm can be customised, such as the f...

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Adaboost 由於這段時間一直在學習，還階段，這是本人中所彙總的相關資料，希 Graph Recognize ...- www.pudn.com

日期：2024-04-18

詳細說明：由於這段時間一直在學習ADABOOST，還在學習階段，這是本人學習中所彙總的相關資料，希朢會對各位有所幫助-Because this period has been learning ADABOOST, still learning stage, this is my summary of the study by the relevant information, I hope ......

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weaklearn adaboost演算法的源碼，提供了訓練，測試，剖析價等功能 AI-NN-PR 人工智慧/神經網路 207 ...- www.pudn.com

日期：2024-04-17

詳細說明：adaboost演算法的源碼，提供了訓練，測試，剖析，評價等功能-This software is a Library for Adaptive Boosting. It provides a generic framework for the study of the Boosting algorithms. The framework provides the different tasks for boosting: Learning ......

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AdaBoost中利用Haar特征進行人臉識别演算法分析與總結1——Haar特征與積分圖 - New begin, new life ...- CSDN.NET

日期：2024-04-13

目前因為做人臉識别的一個小項目，用到了AdaBoost的人臉識别演算法，因為在網上找到的所有的AdaBoost的簡介都不是很清楚，讓我看看頭腦發昏，所以在這裡打算花費比較長的時間做一個關於AdaBoost演算法的詳細總結。...

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MATLAB PROJECTS: Facial Gender Recognition Using AdaBoost

日期：2024-04-12

We have developed an algorithm for gender recognition based on AdaBoost algorithm. Boosting has been proposed to improve the accuracy of any given learning algorithm. In Boosting one generally creates a classifier with accuracy on the training set greater...

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