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数值算法/人工智能 决策树分类
决策树分类，Your task for this project is to develop an system which performs a classification task with any various Decision Tree.
matlab例程 matlab数据挖掘算法。实用cart决策树进行分类
matlab数据挖掘算法。实用cart决策树进行分类，可识别多类。decision tree algorithm, classification.
技术资料 adaboost分类算法的C++实现，可直接运行
adaboost分类算法的C++实现，可直接运行-adaboost classification algorithm C++ achieve, can be directly run
人工智能/神经网络 This code is to estimate the parameter of model of Mixture Gauss which is popular model used in patt
This code is to estimate the parameter of model of Mixture Gauss which is popular model used in pattern classification .
JAVA 写的估计复合高斯模型中的参数
技术资料 fuzzywepon
应用到武器分类 方法的使用和说明 很不错的资料-Classification method is applied to weapons use and that is pretty good info
matlab例程 AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yo
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 learning (classification) algorithm with AdaBoost. A demo fi ...
图形图像 SVM(matlab)多分类
支持向量机(SVM)实现的分类算法源码[matlab] -Support Vector Machine
(SVM), a classification algorithm source code [Matlab]
其他 Support Vector Machine is small sample method based on statistic learning theory. It is a new method
Support Vector Machine is small sample method based on statistic learning theory. It is a new method to deal with the highly nonlinear classification and regression problems .It can better deal with the small sample, nonlinear and
人工智能/神经网络 一个增量文本聚类的算法。 参考文献： Wai-chiu Wong, Ada Wai-chee Fu, Incremental Document Clustering for Web Page Cl
一个增量文本聚类的算法。
参考文献：
Wai-chiu Wong, Ada Wai-chee Fu, Incremental Document Clustering for Web Page Classification.
数值算法/人工智能 ApMl provides users with the ability to crawl the web and download pages to their computer in a dire
ApMl provides users with the ability to crawl the web and download pages to their computer in a directory structure suitable for a Machine Learning system to both train itself and classify new documents. Classification Algorithms include Naive Bayes, KNN