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是一種線性方成的分類器。SVM透過統計的方式將雜亂的資料以NN的方式分成兩類,以便處理。LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, and L1-loss linear SVM. -Main features of LIBLINEA
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以Logistic曲线为例,利用Matlab编程计算非线性回归模型-To Logistic curves were calculated using Matlab programming linear regression model
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Recently, the problem of automatic traffic accident recognition has appealed to the machine vision community due to its implications on the development of autonomous Intelligent Transportation Systems (ITS). In this paper, a new framework for real-ti
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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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做logistic模型的sas程序,包括模型中参数估计的一元线性回归模型。-Do logistic model sas procedures, including the model parameter estimates a linear regression model.
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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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逻辑回归是当前业界比较常用的机器学习方法,这个是PY实现的。-logistic regression model implemented in Python. Hope this helps.
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逻辑回归模型的实现,可以进行训练,预测,分类-Achieve logistic regression model can be trained, forecasting, classification
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在客户端和服务器通过套接字连接设计分布式逻辑回归模型。该服务器可以处理用户的使用预定义的用户名和密码验证。该框架提供了用于保护敏感信息的高层次的保证,由于信息服务器之间交换和客户端是系数的后验分布。-We design a distributed logistic regression model using expectation propagation, where clients and server are connected through sockets. The server ca
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统计回归模型的MATLAB解决方案,主要是在数学应用中解决具体的统计回归模型问题。-MATLAB Solutions statistical regression model, mainly to solve specific problems in mathematical statistical regression model applications.
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用python写的一个关于金融欺诈行为检测的数据分析程序,用的是回归预测模型(This is a data anlysis program for the detection of financial fraud, based on logistic regression model.)
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机器学习中的一种对数据进行分类的模型,非常好用,可以运行,推荐下载。(A machine learning model for data classification, very easy to use, you can run, it is recommended to download.)
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建立人工神经网络模型,包括使用keras建模,logistic regression model(Use tensorflow to construct neural network)
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用于数据挖掘,疾病自动诊断,经济预测等领域。例如,探讨引发疾病的危险因素,建立Logistics回归模型,并根据此预测疾病发生的概率等(Used for data mining, disease automatic diagnosis, economic forecasting and other fields. For example, to explore the risk factors for disease, establish Logistics regression model,
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通过训练样本使用对数几率回归模型建模,并对测试样本类别进行预测(The training samples are modeled by log likelihood regression model, and then predicts the categories of test samples.)
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逻辑回归模型的实现,最易理解的分类器,适合小样本数据集(The realization of logistic regression model, the most understandable classifier, is suitable for small sample datasets.)
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使用python对数据进行预处理后跑逻辑回归模型(Using Python to preprocess the data, run the logistic regression model.)
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建立一个逻辑回归模型来预测一个大学生是否被大学录取(Establish a logistic regression model to predict whether a college student will be admitted to a university)
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基于贝叶斯理论的logistic回归模型的建立、预测。(The establishment and prediction of logistic regression model based on Bayesian theory.)
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