Description: BP算法
给定一个由N维向量X组成的集合，这些向量将是一个响应agent的感知处理单元计算出的特征向量。这些分量的值可以是数值，也可以是布尔值。这些动作也许是学习者所观察到的一个教师对一组输入的响应。这些相关的动作有时称为向量的“标号”或“类别”。集合与响应的标号组成“训练集合(training set)”.机器学习问题就是寻找一个函数。-BP algorithm given by the N-dimensional vector X composed of a collection, these vectors will be a response to the perceived agent processing unit eigenvector calculated. These components can be numerical values may also be a boolean value. These movements may be observed by the learner, a teacher of a group of input response. These related actions are sometimes referred to as Vector s labeling or category. Collection with the label in response to form a training set (training set) . Machine learning problem is to find a function. Platform: |
Size: 1024 |
Author:张志丹 |
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Description: 一个Matlab写的关于图理论以及其在机器学习中应用的教学用GUI软件-Write a Matlab on graph theory and its application in machine learning in the teaching GUI software Platform: |
Size: 12991488 |
Author:charles |
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Description: 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. Platform: |
Size: 79872 |
Author:周简单 |
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Description: 数据挖掘matlab源码，包含机器学习领域中经典算法如ID3,C4.5,NN,CARD,EM等.-Data Mining matlab source, including the field of classical machine learning algorithms such as ID3, C4.5, NN, CARD, EM, etc.. Platform: |
Size: 651264 |
Author:liu yihao |
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Description: 人工神经网络(ANN)的泛化特性是神经网络最重要的特性,同时也是最不容易保证的特性。本程序对改进泛化的神经网络算法以及新兴的机器学习算法——支持向量机算法进行研究,-Artificial Neural Network (ANN) the generalization characteristics of neural networks are the most important characteristics, but also not easy to guarantee the most features. This procedure for improving the generalization of neural network algorithm, as well as the emerging machine learning algorithms- Support Vector Machine algorithm research, Platform: |
Size: 7168 |
Author:王旭 |
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Description: 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 Platform: |
Size: 3072 |
Author:guomin |
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Description: 《机器学习》课上的作业，PCA和LDA降维，尽管网上很多，但很少注释，另外细节上也没注意。这里有很详细的注释。另外还附上一个Naive贝叶斯分类器，大家可以作比较。附带的图像包是OLR人脸。ReducedDim为想要提取的特征数，不是百分比！-" Machine learning" classes on the homework, PCA and LDA dimensionality reduction, even though a lot of online, but few notes, on the other did not pay attention to details. Here there is a very detailed notes. In addition, attach a Naive Bayesian classifier, we can compare. Fringe image packages are OLR people face. ReducedDim you want to extract the characteristics of a few, not a percentage! Platform: |
Size: 3742720 |
Author: |
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Description: 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 file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.-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 file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem. Platform: |
Size: 6144 |
Author:来海锋 |
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Description: 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 that was proposed by Yoav Freund and Robert Schapire. In this project there two main files
Platform: |
Size: 6144 |
Author:来海锋 |
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Description: 聚类分析工具箱 亚历山大博士写的，用于聚类分析，功能比较全-Cluster Analysis and Cluster Ensemble Software
ClusterPack is a collection of Matlab functions for cluster analysis. It consists of the three modules ClusterVisual, ClusterBasics, and ClusterEnsemble as described in the following. They are a selection out of my personal codebase for machine learning research. They contain general clustering algorithms as well as special algorithms developed in my research as indicated in the README files Platform: |
Size: 238592 |
Author:王鹏 |
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Description: 此为机器学习算法中的决策树方法之一CART，也是决策树的基本算法-This is the machine learning algorithm, one of the decision tree method CART, is the basic decision tree algorithm Platform: |
Size: 2048 |
Author:Zechao Li |
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Description: Gentleboost，这是一种基于信息融合的机器学习源代码，成功应用于多个工程信息领域。-Gentleboost, which is a fusion-based machine learning source code, successfully applied in various projects in the field of information. Platform: |
Size: 102400 |
Author:Peter Cai |
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Description: Adaboost，一种很流行的机器学习算法。用matlab实现的。-Adaboost, a very popular machine learning algorithm. Achieved using matlab. Platform: |
Size: 979968 |
Author:Peter Cai |
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