Description: minFunc工具包，里边包含了逻辑回归及svm的代码，可以直接应用-minFunc kit, and the inside contains the logistic regression svm code, can be directly applied Platform: |
Size: 76800 |
Author:haiyang |
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Description: 基于matlab语言的logistic回归分析程序 精确度-logistic regression analysis based on matlab language program accuracy Platform: |
Size: 1024 |
Author:熊涛 |
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Description: 检查/剪裁的例子
孤立点检测实例
正交回归的例子
单因数变异数(泊松回归/逻辑回归)的例子
鲁棒回归的例子
特征选择的例子
常见的边坡问题的例子
-Censoring/clipping example
Outlier detection example
Orthogonal regression example
GLM (Poisson regression/logistic regression) example
Robust regression example
Feature selection example
Common slope problem example Platform: |
Size: 13312 |
Author:文泽枫 |
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Description: 逻辑回归的jar包和示例程序，可以处理背包问题和其它的逻辑回归问题-Logistic regression jar package to deal with the knapsack problem Platform: |
Size: 214016 |
Author:zhong |
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Description: 拟合正则广义线性模型，编制glmfit函数，解决logistic回归模型-Fitting regular generalized linear models, the preparation glmfit function to solve the logistic regression model Platform: |
Size: 9216 |
Author:高雁 |
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Description: 二分类问题采用包括逻辑回归、最小二乘法、感知器算法（按下space不断迭代）、svm线性分类，另外还有高斯分线性分类（待完善），针对平面上两类点进行分类-Second classification using logistic regression, the method of least squares, perception algorithm (Press space iteratively) svm linear classification, in addition to the Gaussian linear classification (to be perfect) classification for two types of points on the plane Platform: |
Size: 4096 |
Author:袁文 |
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Description: Some simple statistical learning techniques, demonstrated with the R language. Including linear regression, logistic regression, neural network example, support vector machine, and random forest example usage and the corresponding libraries needed. Platform: |
Size: 2048 |
Author:stefan.petrov.beb |
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Description: 机器学习里的多分类问题，用logistic回归解决。-Machine learning in the multi-classification problem, using logistic regression to solve. Platform: |
Size: 6808576 |
Author:xieqiwei |
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Description: 多元多项式回归，即一个程序，一个程序，对于给定的数据确定最小误差平方多项式。输出值也可能被转化运用Logit变换，从而使多元logistic回归。如何应用此程序的简要描述，可以发现在C源码包文件中的倒退/ EX / README。-A program for multivariate polynomial regression, i.e., a program that determines a minimum squared error polynomial for given data. The output values may also be transformed with the logit transformation, thus enabling (multivariate) logistic regression. A brief description of how to apply this program can be found in the file regress/ex/readme in the C source package. Platform: |
Size: 28672 |
Author:sdl |
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Description: 一种用于数据分类的算法，与svm的作用类似-In statistics, logistic regression or logit regression is a type of probabilistic classification model[1] used for predicting the outcome of a categorical dependent variable (i.e., a class label) based on one or more predictor variables (features). That is, it is used in estimating empirical values of the parameters in a qualitative response model. The probabilities describing the possible outcomes of a single trial are modeled, as a function of the explanatory (predictor) variables, using a logistic function. Frequently (and subsequently in this article) "logistic regression" is used to refer specifically to the problem in which the dependent variable is binary—that is, the number of available categories is two—and problems with more than two categories are referred to as multinomial logistic regression or, if the multiple categories are ordered, as ordered logistic regression. Platform: |
Size: 2048 |
Author:程小青 |
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Search - logistic regression