搜索资源列表
LR
- 机器学习中的关于逻辑回归（LR）方法的分类器，Matlab源码，附带四个数据集用于实验-Machine Learning on the logistic regression (LR) method of classification, Matlab source code, with four data sets for experiments
NRlogistic
- 罗吉斯回归程序 提供matlab环境下仿真程序-Logistic regression procedure matlab simulation environment
glmfit_fda
- 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
classifer
- 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 Ga
LR
- 采用逻辑回归算法对字符识别进行分类 采用逻辑回归算法对字符识别进行分类- Using logistic regression algorithm to classify character recognition
(SVM)-regression-algorithm
- 对比这么复杂的推导过程，SVM的思想确实那么简单。它不再像logistic回归一样企图去拟合样本点（中间加了一层sigmoid函数变换），而是就在样本中去找分隔线，为了评判哪条分界线更好，引入了几何间隔最大化的目标。-The derivation process of the contrast is so complex, the idea of SVM is so simple. It is no longer tried to like logistic regression fitting
logistic-regression
- 采用随机梯度算法，来利用逻辑回归对训练集进行分类-Classify the training set by logistic regression
Regression
- 实现逻辑回归的c++源码，功能完善，封装完好，能直接运行-Code of logistic regression