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Adaboost
- 一个用matlab的实现的Adaboost_M1, 主要用运捆绑不同的分类器. boosting 算法的一种 -using a Matlab Adaboost_M1 the realization of the main shipped bundled with different types of devices. A boosting algorithm
新型的分类算法
- boosting 一种新型的分类算法 程序
icsiboost-0.3.tar
- 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
Boosting-beta2
- 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.
boostingDemo
- BOOSTING DEMO, A VERY USEFUL DEMO FOR ADABOOST
adaptive_adaboosting.rar
- 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 ,AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm t
C_TraDaBoost
- 迁移学习目前是机器学习的热门领域，基于戴文渊的“Boosting for Transfer Learning”,很有学习价值，这里是TraDaBoost算法的源代码。-For transfer learning packets: 20_newsgroups, facilitate the use of learning
adaboost_for_matlab
- 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 learnin
bagging-and-boosting-NNE
- 主要是给新手熟悉bagging和boosting算法在虹膜中的运用。-bagging and boosting algorithm in the application of the iris.
code
- 基于boosting的人脸检测的matlab实现-Boosting-based face detection matlab implementation
the_application_of_Boosting
- 集成 学 习 算法通过训练多个弱学习算法并将其结论进行合成，可以显著地提 高学习系统的泛化能力。Boosting算法作为集成学习算法的主要代表算法，得到 了广泛的研究和应用，但其研究成果大部分都集中的分类问题上。-Integrated learning algorithm through the training of more than a weak learning algorithm and its conclusions synthesis, can significantly
LocBoost
- Classify using the local boosting algorithm
adaboost_version1b
- 最经典AdaBoost实现，适合初学，有大量详细的注释，容易理解-This a classic AdaBoost implementation, in one single file with easy understandable code. The function consist of two parts a simple weak classifier and a boosting part: The weak classifier tries to find the b
boostingdisplay
- boosting的演示文件，matlab7.0，需自己添加数据-boosting the presentations, matlab7.0, add your own data to be
boost_neural_network
- 结合boosting与神经网络方法相结合的分类方法，效果好，识别率高-Combining boosting and neural network approach for robust classification, effective with high recognition rate
ABdemo
- 神经网络，BOOSTING算法，MATLAB-Neural network, BOOSTING algorithm, MATLAB
Ada_Boost
- AdaBoost, short for Adaptive Boosting, is a machine learning algorithm, formulated by Yoav Freund and Robert Schapire. It is a meta-algorithm, and can be used in conjunction with many other learning algorithms to improve their performance.
boosting_demo
- boosting算法用于集成学习，包含多种弱分类器(Boosting algorithm is used for ensemble learning, and it contains many weak classifiers)
A Short Introduction to Boosting
- 关于分类算法Boosting的介绍。介绍了Boosting的核心思想，以及不可忽视的重要细节问题。(A Short Introduction to Boosting)
boosting算法
- Boosting：初始对每个样本分配相同的权重，每次经过分类，把对的结果的权重降低，错的结果权重增高，如此往复，直到阈值或者循环次数。这是boosting算法的代码，欢迎下载