Description: 多项式回归法得色彩空间转换（色彩信息处理）-polynomial regression in color space conversion (Color Information Processing) Platform: |
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Author:戢亮子 |
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Description: 多项式回归法得色彩空间转换（色彩信息处理）-polynomial regression in color space conversion (Color Information Processing) Platform: |
Size: 53248 |
Author:戢亮子 |
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Description: Locally weighted polynomial regression LWPR is a popular instance based al gorithm for learning continuous non linear mappings For more than two or three in puts and for more than a few thousand dat apoints the computational expense of pre dictions is daunting We discuss drawbacks with previous approaches to dealing with this problem Platform: |
Size: 745472 |
Author:陈月辉 |
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Description: Polynomial fit functions
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RegressionObject.cls contains a class that provides an easy way to add polynomial regression functionality to any application. If you just want linear regression or a very high degree, no matter: this class has good performance and scales seamlessly with the complexity of your problem.-Polynomial fit functions
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RegressionObject.cls contains a class that provides an easy way to add polynomial regression functionality to any application. If you just want linear regression or a very high degree, no matter: this class has good performance and scales seamlessly with the complexity of your problem. Platform: |
Size: 5120 |
Author:qiao |
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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. Platform: |
Size: 1024 |
Author:zhxj |
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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 Platform: |
Size: 3072 |
Author:wanghuaqiu |
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Description: 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两类判别法对样本进行分类
MainAnalysis 对样本进行主成分分析-Matlab data and analysis procedures, listed below contain a variety of algorithms MultiLineReg estimated by linear regression of a dependent variable with a number of independent variables of the linear relationship between PolyReg estimation using a polynomial regression with dependent variable a variable relationship between CompPoly2Reg using quadratic polynomial regression method is estimated that fully a dependent variable and the two since the relationship between variables with the shortest distance CollectAnaly hierarchical clustering algorithm for clustering of samples with Fisher two types of DistgshAnalysis discriminant method to classify samples on the samples MainAnalysis principal component analysis Platform: |
Size: 3072 |
Author:Wade |
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Description: a modified method for polynomial regression is described in a very simple matlab program. easy to understand Platform: |
Size: 1024 |
Author:sanjeev |
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Description: 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 exhaustive function POLYFITN Platform: |
Size: 8192 |
Author:Karthikeyan |
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Description: 用多项式回归的方法编程实现了从设备相关颜色空间RGB到设备无关颜色空间Lab之间的转换。-Polynomial regression method with programming from the device-dependent RGB color space to device-independent color space conversion between Lab. Platform: |
Size: 105472 |
Author:fynh |
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Description: 多元回归源代码。回归方式：配置为0表示进行多元线性回归；1进行多项式回归；2进行多元二次回归。变量/阶数：回归方式配置为0时表示参与回归的变量数，配置为1时表示回归的阶数；（默认待回归变量不超过6个或拟合阶数不超过6次）
-Multiple regression source code. Regression: Configure multiple linear regression polynomial regression 2 multivariate quadratic regression. Variables/order: Regression, configured for 0:00 that the number of variables involved in regression, configuration 1:00 regression order (the default Subject regression variables does not more than six or fitting the order of no more than 6 times) Platform: |
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Author: |
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Description: 1、 极大似然估计
尝试用0~24阶多项式拟合，并用5折交叉验证选择最佳模型（多项式阶数及其系数，给出类似课件中的图），并画出最佳模型的拟合效果图（类似图1，蓝色点为训练样本、红色点为测试样本、绿色线为模型预测），给出该模型的测试误差。
2、 岭回归
多项式阶数为24，正则系数λ的取值范围为exp(-19)到exp(20)，采用并用5折交叉验证选择最佳模型。实验结果要求同1。
-1, the maximum likelihood estimate of 0 to 24 try-order polynomial fitting, with 5-fold cross-validation to select the best model (polynomial order and coefficients are given in Figure similar courseware), and draw the best model Fitting renderings (similar to Figure 1, a blue dot to the training sample, the test sample is red dot, the green line is the model prediction), the test error of the model are given. 2, ridge regression polynomial order of 24, the regular coefficient ranges λ is exp (-19) to exp (20), and with the use of 5-fold cross-validation to select the best model. The experimental results with a requirement. Platform: |
Size: 131072 |
Author:Anymake |
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Description: 线性回归的学习算法。包括数据分析、线性回归、在线梯度下降、多项式回归。压缩包中给出.txt数据文件及说明文档。-Linear regression learning algorithm. Including data analysis, linear regression line gradient descent, polynomial regression. Compressed data given .txt file and documentation. Platform: |
Size: 67584 |
Author:安静 |
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Description: 一元多项式回归模型及其Matlab程序，已知各年度的税收数据见表11，预测第15年的税收-One dollar polynomial regression model and its Matlab program, known tax data for each year in Table 11, forecast the 15th year of tax Platform: |
Size: 29696 |
Author:李亭亭 |
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