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Description: The Bayesian Committee Machine (BCM) is an approximation method for
large-scale Gaussian process regression.
- The code is for Matlab
Version 1.0, November 2005-The Bayesian Committee Machine (BCM) is an approximation method for large-scale Gaussia n regression process.- The code is for Matlab Ve rsion 1.0 EDN 2005
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Size: 13312 |
Author: Joyce |
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Description: 对matlab工具箱中的多元逐步回归算法参数表现更明确-Matlab toolbox to the stepwise multiple regression algorithm performance parameters more clearly
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Size: 2048 |
Author: wangqin |
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Description: Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
regression. It also provides an automatic model selection tool for
C-SVM classification. This document explains the use of libsvm.
-Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classificatio n, nu-SVM classification, one-class-SVM. epsilon- SVM regression. and nu-SVM regression. It also provides an auto matic model selection tool for C-SVM classific ation. This document explains the use of libsvm .
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Size: 7168 |
Author: pangjiufeng |
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Description: 逐步回归的基本思想是有进有出。具体做法是将变量一个一个引入，当每引入一个自变量后，对已选入的变量要进行逐个检验，当原引入的变量由于后面变量的引入而变得不再显著时，要将其剔除。引入一个变量或从回归方程中剔除一个变量，为逐步回归的一步，每一步都要进行 检验，以确保每次引入新的变量，之前回归方程中只包含显著的变量。这个过程反复进行，直到既无显著的自变量选入回归方程，也无不显著自变量从回归方程中剔除为止。-the basic idea is out there Progressive. Specific approach to the introduction of a variable one, every since the introduction of a variable, the right has been elected to the variables for each test, When the original due to the introduction of variable behind the introduction of variable is no longer significant, and should he be removed. Introduction of a variable regression equation or removed a variable, for the gradual return of the step, every step must undergo inspection, to ensure that each introduction of a new variable, before regression equations contain only significant variable. This process repeated until no significant variables into the equation election, are all significant variables from the regression equation far removed.
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Size: 209920 |
Author: 秦国民 |
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Description:
BP神经网络用于分类与回归
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欢迎同行交流与合作-BP neural network for classification and regression---------------------------------------------- welcome exchanges and cooperation with counterparts
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Size: 2048 |
Author: hewen1983 |
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Description: MATLAB插值与拟合（线性拟合函数：regress()
多项式曲线拟合函数：polyfit( )
多项式曲线求值函数：polyval( )
多项式曲线拟合的评价和置信区间函数：polyconf( )
稳健回归函数：robust( )
向自定义函数拟合
）-MATLAB interpolation and fitting (linear fitting function : regress () function polynomial curve fitting : polyfit () polynomial curve function : polyval () polynomial curve fitting and evaluation function confidence interval : polyconf () function Robust Regression : robust () function to define fitting)
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Size: 15360 |
Author: 廖政 |
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Description: 一个多元非线性回归分析源码以及其中的公式列表-a pluralistic nonlinear regression analysis of the source code and the list of formula
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Size: 2961408 |
Author: upc |
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Description: 使用MATLAB实现的BP神经网络的回归功能，代码非常的简洁-using MATLAB BP neural network regression function, the code is very simple
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Size: 1024 |
Author: 唐盛 |
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Description: 一个用于建立温度模型的线性回归的温度模型算法-a temperature model for the establishment of the linear regression model algorithm temperature
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Size: 1024 |
Author: 刘建锋 |
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Description: 本程序是一个逐步回归分析的演示程序，通过对众多因子的逐步选择，最终选出影响最大的因子构成线性回归方程。-this procedure is a stepwise regression analysis of the demonstration program, many of the progressive choice factor, ultimately selected the greatest impact factor constitute linear regression equation.
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Size: 3072 |
Author: 彭晓波 |
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Description: 关于Logistic回归统计算法的matlab实现，内容包括建模、输出变量预测和预测误差分析。数据来自UCI数据库中的Ionosphere database，有351个统计实例，输出变量是二分类变量，代表电波从电离层反射的好坏情况，共有32个特征值。(压缩包中包含已经处理好的数据)-on Logistic regression algorithm to achieve the Matlab, including modeling, variable output forecast and prediction error analysis. UCI data from the database Ionosphere database, Statistics are 351 examples, and the output variable is two classification variables, representatives from the ionosphere radio reflection of the good and bad, A total of 32 eigenvalue. (Compressed package contains good data already processed)
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Size: 1191936 |
Author: 高 |
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Description: Delphi Pascal 数据挖掘领域算法包 回归分析-Delphi Pascal data mining algorithms regression analysis package
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Size: 49152 |
Author: Riverside |
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Description: 这本书是《Logistic 回归模型---方法与应用 》作者：王济川 郭志刚，这是一本关于Logistic 回归的经典书籍
另外还上传了数据-this book is "Logistic regression model-- Methods and Applications" Author : Wang Chuan Guo Zhigang, This is a logistic regression on the classic books also upload data
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Size: 5663744 |
Author: 高 |
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Description: 这是《Logistic 回归模型---方法与应用 》作者：王济川 郭志刚的书中有关的数据-This is the "Logistic regression model-- Methods and Applications" Author : Wang Chuan Guo Zhigang of the data book
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Size: 15360 |
Author: 高 |
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Description: The subroutines glkern.f and lokern.f use an efficient and fast algorithm for
automatically adaptive nonparametric regression estimation with a kernel method.
Roughly speaking, the method performs a local averaging of the observations when
estimating the regression function. Analogously, one can estimate derivatives of
small order of the regression function.
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Size: 194560 |
Author: zhanglifang |
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Description: Support Vector Machines for classfaction and regression -Support Vector Machines for classfaction and regression
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Size: 809984 |
Author: 唐和生 |
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Description: 1stopt manue, the best non-liner regression software
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Size: 958464 |
Author: llbless |
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Description: 一种很容易理解的svm matlab工具箱，可用于分类，回归，并附很多示例。-A very easy to understand svm matlab toolbox, can be used for classification, regression, together with many examples.
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Size: 340992 |
Author: 徐杰 |
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Description: 一种很容易理解的svm matlab工具箱,可用于分类，回归，并附有很多示例。-A very easy to understand svm matlab toolbox, can be used for classification, regression, together with many examples.
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Size: 4064256 |
Author: 徐杰 |
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Description: RBF神经网络用于分类与回归,有效实现RBF网络-RBF neural network for classification and regression, the effective realization of RBF network
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Size: 1024 |
Author: snowflack |
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