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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
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罗吉斯回归程序 提供matlab环境下仿真程序-Logistic regression procedure matlab simulation environment
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Logistic regression，逻辑斯特模型论文-Logistic regression, logistic model papers
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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
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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
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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
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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
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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
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主要介绍了Logistic曲线的机理，并对函数参数进行计算，且应用实例验证了logistic函数的预测功能。-It introduces the mechanism of Logistic curve, and the function parameters were calculated, and the application examples demonstrate the forecasting logistic function.
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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
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Matlab code for the Schmidt HMM-based heart sound segmentation. An example of the implementation of this code can be found in “run_Example_Schmidt_scr ipt.m”.
This code is derived from the paper: S. E. Schmidt et al., "Segmentation of heart s
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