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用LUA编写的logistic回归分析中的wald检验-wald test in logistic regression using LUA
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比较了NaiveBayes 和Logistic Regression 的性能-Compare NaiveBayes and Logistic Regresiion
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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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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.
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Logistic Regression Classifier
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机器学习关于逻辑回归的应用以及附有matlab源代码-Machine learning logistic regression with Matlab source code
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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.
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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. T
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LARS-lasso 稀疏矩阵 Lassplore for solving Large-scale sparse logistic regression-LARS-lasso sparse representation
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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 v
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Genetic algorithm feature selection by using Logistic Regression
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SPSS下数据挖掘实例，关于BMI和心血管疾病的逻辑回归分文分析，包括原始数据分析过程和论文-The following examples of SPSS data mining on BMI and cardiovascular disease penny logistic regression analysis, including raw data analysis process and papers
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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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简单的分类小程序。包括高斯混合模型、svm（调用函数）、logistic regression、和人工神经网络-Simple classification applet. Including the Gaussian mixture model, svm (calling function), logistic regression, and artificial neural networks
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softmaxregression，即多分类的逻辑斯特回归算法，python编写-softmaxregression, namely multi-classification logistic regression algorithm, python write
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二分类logistic回归算法。通用性比较强-Binary logistic regression algorithm. Universal relatively strong
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machine learning in Logistic Regression(机器学习)-machine learning in Logistic Regression (machine learning)
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Logistic and Kernel logistic regression
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Machine learning, classification, logistic regression
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斯坦福大学机器学习公开课程第二讲matlab实现作业--逻辑回归。-Stanford Machine Learning public speaking courses matlab achieve second job- logistic regression.
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