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LIBRA_19jun09
- Our toolbox currently contains implementations of robust methods for location and scale estimation, covariance estimation (FAST-MCD), regression (FAST- LTS, MCD-regression), principal component analysis (RAPCA, ROBPC
Unit1
- for Linear regression
EX11_Predictia_Moto_fuzzy
- Regression analysis method based on fuzzy extension of belief function theory.
shuxuejianmo_5
- (回归分析) 考察温度x对产量y的影响,测得下列10组数据: 求y关于x的线性回归方程,检验回归效果是否显著,并预测x=42℃时产量的估值及预测区间(置信度95 ) -(Regression analysis) x on the output of the temperature study of the impact of y, measured the following 10 sets of data: f
webcat
- 这是一个100 %纯Java库,您可以使用适用于N元 分析技术的过程分为文本文件。 该计划包括几个不同的分类算法, namelly 支持向量机,贝叶斯Logistic回归,神经网络分类和文本压缩 算法。如支持向量机和贝叶斯Logistic回归,一个 “一对一” 用于多类分类。更详细的说明这些学习算法和可用的选项,请提供的javadocs 。-It is a 100 pure Java library
LogOn
- c#实现线性回归预测,线性回归时一个有用的技术,本文展示了一种带权重的自回归模型-Linear regression is a useful technique for representing observed data by a mathematical equation This article presents a C# implementation of a weighted linear regression c shar
SolidWasteManagement
- 运用多元线性回归方法预测城市生活垃圾的产量及管理-Multiple linear regression
boosting-survey
- Boosting is a general method for improving the accuracy of any given learning algorithm. Focusing primarily on the AdaBoost algorithm, this chapter overviews some of the recent work on boosting including analyses o
Matlab
- Matlab数据统计和分析的程序,包含下面所列的多种算法的 MultiLineReg 用线性回归法估计一个因变量与多个自变量之间的线性关系 PolyReg 用多项式回归法估计一个因变量与一个自变量之间的多项式关系 CompPoly2Reg 用二次完全式回归法估计一个因变量与两个自变量之间的关系 CollectAnaly 用最短距离算法的系统聚类对样本进行聚类 DistgshAnalysis 用Fisher两类判别法对
duoyuan
- 多元线性回归模型,结合主成分分析原理,完美的运用matlab编程-Multiple linear regression model, combined with principal component analysis theory, the perfect use of matlab programming! !
4
- MATLAB程序, 半参数线性回归模型的最小二乘核估计 半参数线性回归模型的最小二乘正交序列估计。-MATLAB program, semi-parametric linear regression model of least squares kernel estimation Semiparametric least squares linear regression model orthogonal sequence es
multiplelinearregression
- 多元线性回归的C++源码,在VC6.0上可直接运行!-Multiple Linear Regression C++ source code, can be directly run in VC6.0!
junit
- JUnit是由 Erich Gamma 和 Kent Beck 编写的一个回归测试框架(regression testing fr a mework)。如何快速使用junit-JUnit by Erich Gamma and Kent Beck prepared a regression testing fr a mework (regression testing fr a mework). How to quickly use th
NeuralNetwork_RBF
- RBF神经网络用于分类与回归,非常实用,强烈建议下载-RBF neural network for classification and regression, very practical, it is strongly recommended to download
svm_perf
- SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping h: X --> Y using labeled training examples (x1
20070205154609396
- 款进行多元线性回归分析软件.可以完成多元回归模型的参数估计和统计检验,可以通过Excel获取外部数据,并且能够把计算结果保存成xls文件,计算结果的差方图--Conducted a multiple linear regression analysis software. Can complete multiple regression model parameters estimates and statistical test, y
CH9
- 9.1 随机样本分析irhis.c 9.2 一元线性回归分析isqt1.c 9.3 多元线性回归分析isqt2.c 9.4 逐步回归分析isqt3.c 9.5 半对数数据相关ilog1.c 9.6 对数数据相关ilog2.c-9.1 random sample analysis irhis.c 9.2 linear regression analysis isqt1.c 9.3 Multiple Linear Reg
Multipleregressionanalysis
- 多元回归分析代码 可以做用于多种实际应用 用于各种预测分析 聚类分析代码-Multiple regression analysis code can be done for a variety of practical application of cluster analysis for a variety of predictive analysis code
SVMNR
- 支持向量机和BP神经网络虽然都可以用来做非线性回归,但它们所基于的理论基础不同,回归的机理也不相同。支持向量机基于结构风险最小化理论,普遍认为其泛化能力要比神经网络的强。为了验证这种观点,本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块,仿真结果证实,支持向量机做非线性回归不仅泛化能力强于BP网络,而且能避免神经网络的固有缺陷——训练结果不稳定。 -Support Vector Mach
weka-3-6-1
- Weka是一个超强功能的machine learning开发包-Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools