搜索资源列表
c
- 空间插值方法汇总 Inverse Distance to a Power（反距离加权插值法） Kriging（克里金插值法） Minimum Curvature（最小曲率） Modified Shepard s Method（改进谢别德法） Natural Neighbor（自然邻点插值法） Nearest Neighbor（最近邻点插值法） Polynomial Regression（多元回归法
GMM-GMR-v1.2
- GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model
mllr
- 语音识别最大似然线性回归（MLLR）算法-Speech recognition maximum likelihood linear regression (MLLR) algorithm
Linear_Regression_Program
- linear regression algorithm
regression
- Regression to find equation from several data given through a survey.
SVR
- Support vector regression code
mlr
- Mixture of linear regressors. The routines contained in this file allow inference and learning of a mixture of linear-Gaussian regression models. Learning is performed by maximizing the data likelihood via the expectatio
ipqr
- a modified interior method for linear regression is described in a very simple matlab program
regression_polynomia
- a modified method for polynomial regression is described in a very simple matlab program. easy to understand
Pls_tool-tem
- pls算法工具箱。偏最小二乘回归≈多元线性回归分析＋典型相关分析＋主成分分析 -pls algorithm toolbox. Partial least-squares regression ≈ multiple linear regression analysis, canonical correlation analysis++ Principal component analysis
LWLR
- this program compare the Locally Weighted Linear Regression with three diferrent kernel function (gaussian, logistic basis, and Reciprocal Multiquadric) also compare locally weighted by simple Linear Regression.
NeuralNetwork_BP
- 神经网络用于分类与回归,先产生训练样本与测试样本，每一列为一个样本- neural network for classification and regression, first create the training samples and test samples, each as a sample of
mat
- 支持向量机非线性回归通用MATLAB源码本源码可以用于线性回归、非线性回归、非线性函数拟合、数据建模、预测、分类等多种应用场合-Universal non-linear regression support vector machine MATLAB source code of this source can be used for linear regression, nonlinear regression, nonlinear
000
- Mahalanobis距離是一個可以準確找出資料分布上面極端值(Outliers)的統計方法,使用線性迴歸的概念,也就是說他使用的是共變數矩陣以及該資料分布的平均數來找尋極端值的產生,而可以讓一群資料系統具有穩健性(Robust),去除不必要的雜訊訊息,這邊拿前面共變數矩陣的資料為例,並且新增了兩個點座標向量來做Mahalanobis距離的比較-Mahalanobis distance is the information that c
Inertiadevicefaultpredictionbasedonwavelet
- ：为了提高最小二乘支持向量回归机的性能，将Morlet小波核函数引入其中，形成了最小二乘小波支 持向量回归机模型。利用待优化的参数重构模型的目标函数和约束条件，并在此基础上通过遗传算法进行参数 选择，从而提高了该模型的泛化能力。将最小二乘小波支持向量回归机应用于导弹陀螺仪的漂移趋势预测，仿真 实验结果表明了该方法的有效性和可行性，因此可以为陀螺仪的故障预报、可靠性辅助决策提供依据。-To improve the abilit
polynomial
- Least-square curve fitting using polynomials is probably the most basic way to perform some parametric regression analysis. Foor basic tools for polynomial curve fitting are provided here. I also strongly recommend the e
BayesianLinearRegression
- This matlab code is a demo version of Bayesian linear regression. -This matlab code is a demo version of Bayesian linear regression.
Chapter3
- Multiple Linear Regression PowerPoint presentation
linear_regr_analysis
- 该程序是多元线性回归分析的C++实现程序源代码，是数据处理中的重要算法之一。-The C++ source code of Multiple linear regression analysis(MLR)
CART_thesis
- a document about Classification and Regression Trees