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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
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采用C语言实现的Adaboost算法，一个很经典的分类器算法-Using C language of the Adaboost algorithm, a classic Classifier
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WeakLearner，各种弱分类器，可供AdaBoost训练使用-WeakLearner, a variety of weak classifier, for training in the use of AdaBoost
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WeakLearner,弱分类器，可供Adaboost训练使用，补充-WeakLearner, the weak classifier, for training in the use of Adaboost, supplementary
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AdaBoost分类器的源代码的用户手册， 内有原始代码下载网址。-AdaBoost classifier source code of the user manual, there are source code download link.
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adaboost 源码，综合多个弱分类器，通过动态修改元组权值以及得到的分类器权值，提升为复合强分类器。-AdaBoost source code, several weak classifiers, by dynamically modifying the tuple classifier obtained by weight and weight, enhance the strong classifier for composite.
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这是一本介绍AdaBoost算法的资料。Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器-This is an introduction AdaBoost algorithm information. Adaboost is an iterative algorithm, the core idea for a training set of different classifiers (weak cl
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Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器）。-Adaboost is an iterative algorithm, the core idea is the same for a training set different classifiers (weak classifiers), and then set up these weak classifiers to form a
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adboost分类器 matlab源程序 用于训练样本 实现分类-Adaboost classifier Matlab source for training samples to achieve classification
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集成学习将若干基分类器的预测结果进行综合，具体包括Bagging算法和AdaBoost算法；还有随机森林算法，利用多棵树对样本进行训练并预测的一种分类器-Integrated learning integrates the prediction results of several base classifiers, including Bagging algorithm and AdaBoost algorithm and random forest algorithm, using a t
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BP-Adaboost模型即把BP神经网络作为弱分类器，反复训练BP神经网络预测样本输出，通过Adaboost算法得到多个BP神经网络弱分类器组成的强分类器。-The BP-Adaboost model uses BP neural network as weak classifier to repeatedly train BP neural network to predict the sample output. Adaboost algorithm is used to obtain a
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基于BP-Adaboost的强分类器设计(Design of strong classifier based on BP-Adaboost)
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一个简单的基于matlab实现的adaboost分类器算法实现(A simple implementation of AdaBoost classifier algorithm based on MATLAB)
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