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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
Theme-AthlonXP.tar
- 给Linux加logo的主题,Theme-AthlonXP-to increase Linux logo theme Theme-boosting
xinyi2
- 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 the realization of the Adaboost_M1. major shipped bundled with different types of devices. a boosting algorithm ..
DiSturb_Code
- 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 Matlab the realization of the Adaboost_M1. major shipped bundled with different types of devices. a boosting algorithm ..
ABoostingApproachtoP300DetectionwithApplicationtoB
- A Boosting Approach to P300 Detection with Application to Brain-Computer Interfaces-A Boosting Approach to Detection with P300 Application to Brain-Computer Interfaces
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
是模式识别课件
- 是模式识别课件，Bagging & Boosting
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
Learning-Features-for-Tracking
- 基于在线特征学习机制的跟踪算法，本论文拟实现一个基于boosting的分类器在线学习算法，并将之应用于视觉目标跟踪。
VCjsnm
- The 6.0 release of Visual C++ shows Microsoft s continued focus on Internet technologies and COM, which are key components of the new Windows Distributed interNet Application Architecture (DNA). In addition to supporting these platform initiatives, V
multiboost-0.71.bin.tar
- boosting multiclass,a class library for machine learning
Transfer Learning with an Ensemble of Background Tasks
- boosting for transfer learning
AdaBoost
- 这里是关于图像处理之机器学习方面的资料--AdaBoost，自适应boosting. 非常经典的资料-Here is on image processing of machine learning information- AdaBoost, adaptive boosting. Very classical information
facedet
- 人脸检测算法对Haar特征推进，我们已经改善了大幅利用作为弱分类器的阈值中的累积概率分布点。-A face detector based on VJ algorithm (Boosting on HAAR features). We have improved the performance drastically by using mid cumulative probability distribution point as threshold for weak classifiers.
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
Bp_Ada_Sort
- boosting是一族可将弱学习器提升为强学习器的算法，工作机制类似基学习器的加性模型。本代码为boosting的分类数据算法。(boosting is a algrithm to carry out a powerful learning machine basing on based machine.)
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