搜索资源列表
baggingaboosting
- Matlab code for bagging and boosting (data mining)
baggingPLS
- bagging PLS 一种集合建模的策略，可以根据需要改变子模型的大小，更改模型的损失函数。-A collection of bagging PLS modeling strategy, you can change the size of the sub-models necessary, change the loss function model.
55e9ae658d29
- 基于bagging算法的C++程序，包括matlab程序的结合。代码简单易懂，适合模式识别的初学者。-Based bagging algorithm C++ procedures, including combining matlab program. Code is easy to understand for beginners pattern recognition.
RandomForest
- 随机森林是由多棵树组成的分类或回归方法。主要思想来源于Bagging算法，Bagging技术思想主要是给定一弱分类器及训练集，让该学习算法训练多轮，每轮的训练集由原始训练集中有放回的随机抽取，大小一般跟原始训练集相当，这样依次训练多个弱分类器，最终的分类由这些弱分类器组合，对于分类问题一般采用多数投票法，对于回归问题一般采用简单平均法。随机森林在bagging的基础上，每个弱分类器都是决策树，决策树的生成过程中中，在属性的选择上增加了依
Ensemble-Learning
- 集成学习将若干基分类器的预测结果进行综合，具体包括Bagging算法和AdaBoost算法；还有随机森林算法，利用多棵树对样本进行训练并预测的一种分类器-Integrated learning integrates the prediction results of several base classifiers, including Bagging algorithm and AdaBoost algorithm and rand
NLDA
- 利用matlab实现基于NLDA的人脸识别算法，如有需求做RLDA和bagging NLDA并利用sum rule或者majority rule请参照http://shop.zbj.com/14563255/sid-1213623.html-Matlab codes for NLDA, bagging NLDA, random sampling LDA, Integrating Random Subspace and Bagging f
Ensemble Methods Foundations and Algorithms
- This book provides researchers, students and practitioners with an introduction to ensemble methods. The book consists of eight chapters which naturally constitute three parts.
AOC_limit
- 使用matlab实现的蚁群算法，解决0 1背包问题为例解决组合优化问题(ant colony optimization (ACO) implement by matlab, use to solve 0/1 bagging problem)
ensemblelearning
- 集成学习算法，包括随机森林，bagging.(Integrated learning algorithms, including random forests, bagging.)
SelectedEnsembleClassfier
- 选择性集成学习，遗传算法，Bagging算法(Selective integrated learning ,Genetic algorithm, Bagging algorithm)
SVM
- 选择性集成学习、遗传算法、Bagging算法(Selective integrated learning, genetic algorithm and Bagging algorithm)
vote
- 可以集成多个分类器的投票算法，采用python实现(The voting algorithm of multiple classifiers can be integrated and implemented by python.)
balancevote
- 针对不平衡样本的，可以综合多个分类器的投票算法。(For the unbalanced samples, the voting algorithm of multiple classifiers can be synthesized.)
classifier
- 一些分类器尝试，包括SVM，KNN，自带树与adaboost或者bagging结合等。(Some classifiers test,such as SVM,KNN,etc, including test data. Only some of the methods are included in the main.m.)
bagging_svm
- bagging_svm MATLAB实现(the matlab code of bagging and svm .)