搜索资源列表
learner
- aDABOOST This package contains the following files: learner.jar - is a platform independent java package. In order to run it on windows/linux open the command prompt/shell and type the command \"java -jar learner.jar\". Make sure the ja
adaboost.rar
- 一个最基本的adaboost算法源码（matlab）,a basic adaboost algorithom source code (matlab)
code
- 多种分类器的代码，代码非常好，希望大家能下载，因为这里面涵盖了haar，adaboost，treelearner，singlestumplearner，constantlearner很多学习方法-Multiple classification code, the code is very good, I hope you can download, as this which covers the haar, adaboost, treelearner, singlestumplearner,
multiboost-0.71.src.tar
- MultiBoost 是c++实现的多类adaboost酸法。与传统的adaboost算法主要解决二类分类问题不同，MultiBoost解决的是多类的分类问题，而并不是把多类转化成二类问题。-MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning
AdaBoostMHClass
- Adaboost的VC++实现，很好的阐述了算法的要点，非常适合初学者学习，是入门的好代码-Adaboost' s VC++ to achieve, a good exposition of the main points of the algorithm is very suitable for beginners to learn, is a good entry code
Manual
- AdaBoost分类器的源代码的用户手册， 内有原始代码下载网址。-AdaBoost classifier source code of the user manual, there are source code download link.
gacv065
- 基于主分量分析、Gabor滤波与Adaboost的人脸识别源码，可能会对大家有用-Based on principal component analysis, Gabor filters and Adaboost face recognition source code, may be useful to everyone
adaboost-coding
- adaboost 源码，综合多个弱分类器，通过动态修改元组权值以及得到的分类器权值，提升为复合强分类器。-AdaBoost source code, several weak classifiers, by dynamically modifying the tuple classifier obtained by weight and weight, enhance the strong classifier for composite.
SMOTEBoost
- 分类非平衡数据的SMOTEboost算法-This code implements SMOTEBoost. SMOTEBoost is an algorithm to handle class imbalance problem in data with discrete class labels. It uses a combination of SMOTE and the standard boosting procedure AdaBoost to better model t
Kofsky-AdaBoost-Code(WithTrainData)
- 人脸检测代码，用matlab编写而成。方法：adaboost学习器学习法-Face detection code, compiled using matlab. Methods: AdaBoost learning machine learning method
FaceDetectorOtherversion
- 人脸检测代码，用matlab编写而成。方法：adaboost学习器学习法-Face detection code, compiled using matlab. Methods: AdaBoost learning machine learning method
face_recognition_adaBoost_M2
- 人脸检测代码，使用adaboost学习器学习法编写，用matlab编程-Face detection code, compiled using matlab. Methods: AdaBoost learning machine learning method
adaboost
- 这个代码实现了基于树的adaboost算法，在一些简单数据集上表现很好。-This code implements tree based adaboost algorithm, performing well in some simple datasets.
adaboost
- adaboost算法python代码，用于了解学习adaboost算法-adaboost python source code
Haar
- haar+adaboost人脸训练和检测源码,优化程序,速度极快-haar+adaboost face training and testing source code optimizer, fast
python-code-for-Machine-learning
- 用于机器学习的全方位python代码，包括K-近邻算法、决策树、朴素贝叶斯、Logistic 回归 、支持向量机、利用 AdaBoost 元算法提高分类性能、预测数值型数据：回归、树回归、利用 K-均值聚类算法对未标注数据分组、使用 Apriori 算法进行关联分析、使用 FP-growth 算法来高效分析频繁项集、利用 PCA 来简化数据、利用 SVD 简化数据、大数据与 MapReduce-The full range of python code for machine learning
AdaBoost-master
- adaboost code 人工智能神经网络深度学习‘’(adaboost code ai deeplearning)
MLInActionCode-master
- 机器学习实战的源代码集合，第一部分主要介绍机器学习基础，以及如何利用算法进行分类，并逐步介绍了多种经典的监督学习算法，如k近邻算法、朴素贝叶斯算法、Logistic回归算法、支持向量机、AdaBoost集成方法、基于树的回归算法和分类回归树（CART）算法等。第三部分则重点介绍无监督学习及其一些主要算法：k均值聚类算法、Apriori算法、FP-Growth算法。第四部分介绍了机器学习算法的一些附属工具(Machine learning combat source code collection