搜索资源列表
Boosting
- 这是一个关于Boosting算法的应用文档，对于刚刚接触这个算法的同学，非常有用-Boosting algorithm on the application documents, For just this algorithm contact the students, and very useful
Boosting
- Boosting原理及主要应用.ppt Boosting原理及主要应用.ppt
On-line-Boosting-and-Vision
- 在计算机视觉的应用中，对于检测和识别任务boosting算法是一个很流行的算法。对比于非在线算法，在线的boosting算法可以更好的适应实时跟踪的应用。
jboost-1.4(Boosting)
- Boosting算法软件包，java实现
Gradient_Feature_Selection_for
- 关于on-line boosting的gradient feature selection的介绍,With regard to on-line boosting the introduction of gradient feature selection
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
Boosting.rar
- adaboost算法原理，详细分析，并附有例子介绍,adaboost, gentel
gentleBoost.rar
- 当前流行的机器学习算法之一：boosting的变体——Gentleboost,The current popular one of machine learning algorithms: boosting variants- Gentleboost
boostingtree
- 关于boosting tree 的新算法-boosting tree
Logitboost
- Logitboost 是一种改进的boosting算法，可以用作参考-Logitboost is an improved boosting algorithm can be used as a reference
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.
Baggingboostingandc45
- 模式识别bagging boosting c4.5算法-Bagging boosting c4.5 algorithm for pattern recognition
code
- 基于boosting的人脸检测的matlab实现-Boosting-based face detection matlab implementation
lecture07-090330
- Vapnik-Cheervonenkis (VC) Dimension Support Vector Machines SVM Applications Committee machines PAC Learning Boosting “No Free Lunch” Theorem-Vapnik-Cheervonenkis (VC) Dimension
The_Status_Quo_of_Machine_Learning_of_Artificial_I
- 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
boosting
- 关于boosting的一些经典文章！！欢迎大家下载-some good articles about boosting!
boosting-survey
- Boosting is a general method for improving the accuracy of any given learning algorithm. Focusing primarily on the AdaBoost algorithm, this chapter overviews some of the recent work on boosting including analyses of AdaBoost’s training error an
Boosting-a-weak-learning-algorithm
- Freund在1995年发表的一篇很经典的文章Boosting a weak learning algorithm by majority，是关于弱学习算法的，全英文写的-Freund in 1995 published a classic article Boosting a weak learning algorithm by majority, is on the weak learning algorithm, written in English
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)