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Description: 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
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Author: 王世海 |
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Description: 国外编写的一个非常好的基于matlab的Adaboost学习算法工具包。-abroad to prepare a very good based on Matlab Adaboost learning algorithm tool kit.
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Size: 115712 |
Author: 葛俊锋 |
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Description: boosting 一种新型的分类算法 程序-boosting a new type of classification algorithm procedure
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Description: 由于这段时间一直在学习ADABOOST，还在学习阶段，这是本人学习中所汇总的相关资料，希望会对各位有所帮助-Because this period has been learning ADABOOST, still learning stage, this is my summary of the study by the relevant information, I hope you will help
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Size: 39090176 |
Author: 朱朱 |
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Description: Vapnik-Cheervonenkis (VC) Dimension
Support Vector Machines
SVM Applications
Committee machines
PAC Learning
Boosting
“No Free Lunch” Theorem-Vapnik-Cheervonenkis (VC) Dimension Support Vector Machines SVM Applications Committee machines PAC Learning Boosting " No Free Lunch" Theorem
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Size: 1167360 |
Author: Shelly Chen |
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Description: 机器学习是人工智能的一个子领域，是人工智能中非常活跃且范围甚广的主要核心研究领域之一，也是现代智能系统的关键环节和瓶颈。机器学习吸取了人工智能、概率统计、计算复杂性理论、控制论、信息论、哲学、生理学、神经生物学等学科的成果，主要关注于开发一些让计算机可以自动学习的技术，并通过经验提高系统自身的性能。本文介绍了机器学习的概念、基本结构和发展，以及各种机器学习方法，包括机械学习、归纳学习、类比学习、解释学习、基于神经网络的学习以及知识发现等，并简单叙述了机器学习的相关算法，包括决策树算法、随机森林算法、人工神经网络算法、SVM算法、Boosting与Bagging算法、关联规则算法、贝叶斯学习算法以及EM算法等，最后还指出了机器学习的应用及其发展趋势。-Machine learning is a subset of the field of Artificial Intelligence,is very active in Artificial Intelligence and a wide range of research in the field of one of the main core, is the key and the bottleneck of a modern intelligent system.Machine Learning has absorbed the results of Artificial Intelligence, Probability and Statistics, Computational Complexity Theory, Cybernetics, Information Theory, Philosophy, Physiology and Neurobiology, and other disciplines.It concerns mainly about how to develop some of technology which can make the computer auto-learning,and through experiences to improve the performance of the system itself.This paper introduces the concept,the basic structure and development of machine learning, and a variety of machine learning methods,including machine learning, inductive learning, learning by analogy, explanation-based learning,based on neural network learning and knowledge discovery, and so on. And briefly descrip the algorithms of machine learning,includin
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Size: 32768 |
Author: lzl |
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Description: 北航计算机学院研究生机器学习课程讲义，涵盖了机器学习领域大部分内容，如SVM、EM、boosting等。深入浅出，易于自学-Beihang University Graduate School of Computer Science Machine Learning Lecture Notes, covering most of machine learning, such as SVM, EM, boosting and so on. Easy to understand and self-learn
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Author: Carter |
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Description: This article discuss a new algorithm for boosting Multi_class support vector machine and demonstrate the experimental result based on developing this algorithm.
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Author: shima |
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Description: 利用局部二位模式和haar特征进行人脸或目标识别。-This toolbox provides some tools for objects/faces detection using Local Binary Patterns (and some variants) and Haar features.
Object/face detection is performed by evaluating trained models over multi-scan windows with boosting models
(such Adaboosting, FastAdaboosting and Gentleboosting) or with linear SVM models.
The main objective of FDT is to bring simple but efficient tools mainly written in C codes with a matlab interface and easy to modify.
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Author: zhu rg |
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Description: 模式识别 北京大学 本科生课程 课件 （包括贝叶斯模型、最近邻、SVM、线性与非线性分类器、boosting、统计学习、非监督学习等）-Pattern Recognition Peking University Courseware (including Bayesian model, the nearest neighbor, SVM, linear and non-linear classifiers, boosting, statistical learning, unsupervised learning, etc.)
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Author: maxiao9004 |
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Description: 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)
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Author: Candy668
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