当前位置：
首页 资源下载
搜索资源 - machine learning matlab
搜索资源列表
-
0下载：
增强学习Matlab源吗,对机器学习,在线控制的人有所帮助-Matlab source you enhance the learning of machine learning, online help people control
-
-
1下载：
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.
-
-
2下载：
高斯过程算法在回归和分类中的应用程序。与书本《基于高斯过程的机器学习》配套。本程序是最新的v3.1版，更新于2010-09-27-Gaussian process regression and classification algorithm in the application. And the book " machine learning based on Gaussian process" support. This program is the latest v3.1
-
-
0下载：
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
-
-
1下载：
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
-
-
2下载：
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..
-
-
0下载：
一个机器学习算法软件包，包括神经网络，模糊逻辑，支持向量机，采用MATLAB平台实现-A package of machine learning algorithms, including neural networks, fuzzy logic, support vector machine, using MATLAB platform
-
-
0下载：
非线性降维方法 可以应用于高维数据的机器学习-Nonlinear dimensionality reduction methods can be applied to high-dimensional data, machine learning
-
-
0下载：
非线性降维方法 可以应用于高维数据的机器学习-Nonlinear dimensionality reduction methods can be applied to high-dimensional data, machine learning
-
-
0下载：
非线性降维方法lle 可以应用于高维数据的机器学习-Lle nonlinear dimensionality reduction methods can be applied to high-dimensional data, machine learning
-
-
0下载：
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 f
-
-
1下载：
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 t
-
-
0下载：
-
-
1下载：
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
-
-
0下载：
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.
-
-
0下载：
ica for machine learning classification neural networks
-
-
0下载：
uci机器学习数据库关于字符识别的源数据。是字符识别的研究的关键数据来源。包括手写字体和印刷体两类，手写的数字和印刷体的字母。-uci machine learning database on the source character recognition data. Character recognition research is the key source of data. Including two types of handwriting fonts, and print, han
-
-
0下载：
這是一個 Matlab的（和獨立應用）端口的出色的機器學習算法，隨機森林` - 由Leo布賴曼等。從 R -源由Andy鴻等。 http://cran.r-project.org/web/packages/randomForest/index.html（Fortran的原由Leo布賴曼和Adele卡特勒，研究港口安迪鴻和馬修維納。）當前的代碼版本是基於 4.5-29從來源 randomForest包。-This is a Matlab (and Standalone application) p
-
-
12下载：
一些非常有用的数据集，适合我们从事机器学习的人使用，matlab下的mat格式和excel格式，包括注明的iris，糖尿病等数据集-some useful datasers for machine learning learners,such as diabeters,iris and so on
-
-
0下载：
和当时最热的《模式识别与机器学习》对应的课件-the hottest book of Pattern Recognition and Machine Learning corresponding courseware
-
«
1
2
3
45
6
7
8
9
10
...
32
»
