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Adaboost_improve
- adaboost训练过程很烦琐，收集了Adaboost的改进算法的论文汇总，对做Adaboost的同志很有帮助-adaboost training process is very cumbersome, a collection of papers Improved Algorithm for Adaboost summary, very helpful for the comrades to do Adaboost
weaklearn
- adaboost算法的源码，提供了训练，测试，剖析，评价等功能-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, Validation, Test, Pro
Adaboost-detection
- 基于ADABOOST的人脸检测程序，有分类器训练和测试-face detection based on adaboost
Adaboost
- Adaboost算法是一类弱分类器，本算法使用adaboost算法实现对于训练数据划分成两个组，然后可以用来进行数据的分类。-Adaboost algorithm is a class of weak classifier, the algorithm uses adaboost algorithm for the training data into two groups, and then can be used for data classification.
C_adaboost
- adaboost算法源码，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），通过测试可以运行-adaboost algorithm source code, Adaboost is an iterative algorithm, the core idea is the same training set for different classifiers (weak classifiers
adaboost1
- adaboost的简单实现，生成adaboost模型的训练函数和测试测试样本的测试函数。-adaboost simple implementation, generate adaboost model training function test function test samples and test.
adaboost
- adaboost算法的训练和测试代码，简单的实例(The aim of the project is to provide a source of the meta-learning algorithm known as AdaBoost to improve the performance of the user-defined classifiers.)
AdaBoost算法
- 用matlab软件，实现adaboost算法。将数据集划分为训练集和测试集，给训练集的数据贴标签，用训练好的模型来测试测试数据的准确度。(Using Matlab to implement the AdaBoost algorithm. The data set is divided into training set and test set to label the data of the training set, and the accuracy of the test data i