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Description: 这里实现了四种SVM工具箱的分类与回归算法
1、工具箱：LS_SVMlab
Classification_LS_SVMlab.m - 多类分类
Regression_LS_SVMlab.m - 函数拟合
2、工具箱：OSU_SVM3.00
Classification_OSU_SVM.m - 多类分类
3、工具箱：stprtool\svm
Classification_stprtool.m - 多类分类
4、工具箱：SVM_SteveGunn
Classification_SVM_SteveGunn.m - 二类分类
Regression_SVM_SteveGunn.m - 函数拟合
觉得好就帮我顶一下帖子，要不沉了！
-Here to realize the four SVM toolbox Classification and Regression Algorithm 1, Toolbox: LS_SVMlabClassification_LS_SVMlab.m- Multiclass Classification Regression_LS_SVMlab.m- function fitting 2, the toolbox: OSU_SVM3.00Classification_OSU_SVM.m- Multiclass Classification 3, Toolbox : stprtoolsvmClassification_stprtool.m- Multiclass Classification 4, Toolbox: SVM_SteveGunnClassification_SVM_SteveGunn.m- II Category Regression_SVM_SteveGunn.m- function fitting to help me feel good on top of you post, or heavy!
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Author: fgqqd |
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Description: 计算多元自回归，剩下的自己看吧，自己琢磨的，不一定很好-Since the calculation of multiple regression, and the rest of their look, their own refined and do not necessarily have good
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Author: wangyan |
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Description: Matlab源代码，包括支持向量机分类算法（SVC_C，SVC_Nu）,回归算法（SVR_Epsilon，SVR_Nu）,以及One-Class算法。-Matlab source code, including support vector machine classification algorithm (SVC_C, SVC_Nu), regression algorithm (SVR_Epsilon, SVR_Nu), as well as the One-Class algorithm.
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Size: 228352 |
Author: 李志 |
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Description: 统计模式识别、线性或非线性回归以及人工神经网络等方法是数据挖掘的有效工具，支持向量分类（support vector classification，简称SVC）算法是一个很有发展前景的方向。-Statistical pattern recognition, linear or nonlinear regression and artificial neural network approach is an effective tool for data mining, support vector classification (support vector classification, referred to as SVC) algorithm is a promising direction.
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Size: 10240 |
Author: xs |
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Description: 对随机变量以自变量的几组观测数据作多元线性回归（求得平均标准偏差，复相关系数和回归平方和）-Of random variables since the variables in several groups of observation data for multiple linear regression (obtained an average standard deviation, correlation coefficient and regression sum of squares)
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Author: fuxiao |
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Description: logistic回归算法代码，希望对大家有所帮助-logistic regression algorithm code, and they hope to help everyone
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Author: 正义 |
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Description: 一个非常经典的核统计学习工具箱。集成了kpca、kdr、ksri等。具有分类和回归双重功能。-A very classic nuclear statistical learning toolbox. Integrated kpca, kdr, ksri and so on. Classification and regression with a dual function.
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Size: 229376 |
Author: 张强 |
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Description: Ridge Regression RR 岭回归估计，是非常有用的非线性时间序列算法，在局部多项式预测中非常有用。-Ridge Regression RR ridge regression estimates, it is useful to nonlinear time series algorithms, in Local Polynomial prediction in very useful.
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Size: 1024 |
Author: zhxj |
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Description: 本人编写的incremental 随机神经元网络算法，该算法最大的特点是可以保证approximation特性，而且速度快效果不错，可以作为学术上的比较和分析。目前只适合benchmark的regression问题。
具体效果可参考
G.-B. Huang, L. Chen and C.-K. Siew, “Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes”, IEEE Transactions on Neural Networks, vol. 17, no. 4, pp. 879-892, 2006.
-I prepared by incremental random neural network algorithm, which is characterized by the largest approximation properties can be guaranteed, and fast good results can be used as an academic comparison and analysis. The current benchmark is only suitable for the regression problem. Specific effects may refer G.-B. Huang, L. Chen and C.-K. Siew,
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Size: 2048 |
Author: chenlei |
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Description: 对数据进得自回归分析预测。并生成下一周期的预测值-Of data into the prediction derived from the regression analysis. And generate the next cycle of prediction value
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Size: 2048 |
Author: 徐庆 |
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Description: bp神经网络用于回归的matlab程序，修改数值就可适用-bp neural network for regression matlab procedures can modify the application of numerical
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Size: 1024 |
Author: 灰熊 |
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Description: rbf神经网络用于回归的matlab程序，修改数值就可适用-rbf neural networks for regression matlab procedures can modify the application of numerical
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Size: 2048 |
Author: 灰熊 |
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Description: 一维支持向量机回归以及二维支持向量机回归-One-dimensional support vector machine regression, as well as two-dimensional support vector machine regression
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Size: 235520 |
Author: 赵星 |
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Description: 统计学习的Matlab程序:包括各种假设检验,模型识别和线性回归等.-The Matlab statistical learning procedures: including a variety of hypothesis testing, model identification and linear regression.
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Size: 11264 |
Author: lin |
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Description: 用支持向量机(SVM)实现分类与函数回归的源代码。内有实例，依湖芦画瓢即可。-Using support vector machine (SVM) classification and function to achieve the reunification of the source code. There are examples, according to Lake Lo paintings can ladle.
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Size: 73728 |
Author: Xiaojun Tang |
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Description: 强局部加权回归算法由Cleveland[7]提出,主要利用局部观测数据对欲拟合点进行多项式加权拟合,并用最小二乘法进行估计.它综合了传统的局部多项式拟合,局部加权回归以及具有强鲁棒性的拟合过程
-Strong locally weighted regression algorithm by Cleveland [7] proposed, mainly using local observational data points on the polynomial fitting For weighted fitting, and estimated by least square method. It combines the traditional local polynomial fitting, locally weighted regression as well as strong robustness of the fitting process
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Size: 3072 |
Author: wanghuaqiu |
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Description: 局部线性回归方法及其稳健形式已经被看作一种有效的非参数光滑方法.与流行的核回归方法相比,它有诸多优点,诸如:较高的渐近效率和较强的适应设计能力.另外,局部线性回归能适应几乎所有的回归设计情形却不需要任何边界修正。-Local linear regression methods and their solid form has been seen as an effective non-parametric smoothing method. Contrary to popular kernel regression methods, it has many advantages, such as: higher efficiency and stronger asymptotic adaptation design capacity. In addition, the local linear regression to adjust to the return of the design of almost all cases does not require any boundary amendment.
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Author: wanghuaqiu |
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Description: 本软件是 windows系统平台下的支持向量机软件，包括了支持向量机的几种常用类型，可用于分类和回归-This software is under the windows system platform support vector machine software, including support vector machines for some commonly-used type, can be used for classification and regression
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Size: 687104 |
Author: 张建 |
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Description: PRINCIPLE: The UVE algorithm detects and eliminates from a PLS model (including from 1 to A components) those variables that do not carry any relevant information to model Y. The criterion used to trace the un-informative variables is the reliability of the regression coefficients: c_j=mean(b_j)/std(b_j), obtained by jackknifing. The cutoff level, below which c_j is considered to be too small, indicating that the variable j should be removed, is estimated using a matrix of random variables.The predictive power of PLS models built on the retained variables only is evaluated over all 1-a dimensions =(yielding RMSECVnew).
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Size: 3072 |
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Description: 用MFC编了一个多元线性回归，在视窗口显示回归函数，待处理的数据也在压缩文件内。-MFC series with a multiple linear regression, the regression function, as the window displays when the processed data is also compressed document.
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Size: 2000896 |
Author: 王贻坤 |
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