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The BNL toolbox is a set of Matlab functions for defining and estimating the
parameters of a Bayesian network for discrete variables in which the conditional
probability tables are specified by logistic regression models. Logistic regression can be
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：本文简要阐述了遗传算法的基本原理， 给 出具体的程序设计方法和基于 MAT L AB语言的实现， 最后举例验证 了所编程序在 函数全局寻优 中的有效性。-Implementation of gentleBoost Friedman, J. H., Hastie, T. and Tibshirani, R. "Additive Logistic Regression: a Statistical View of Boosting。
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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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基于逻辑回归的分类实验，在UCI数据库的audlt数据集上进行测试-Classification based on logistic regression test, the database in the UCI data set to test audlt
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sparse multinomial logistic regression
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使用Logistic Regression来讲解Probabilistic Classification Methods并绘出正确图表-Logistic Regression to explain the use of Probabilistic Classification Methods and draw the correct diagram
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logistic regression algorithm in matlab.
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The classical beetle data is analysed using logistic regression and MCMC.
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logistic回归分析相关资料分析总结1-logistic regression analysis, Data Analysis Summary 1
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2d logistic regression demo
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二分类逻辑回归matlab代码,运行有效，包含图形说明。-Binary logistic regression matlab code to run efficiently, including graphical instructions.
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用java实现了逻辑回归的算法,压缩包中有测试数据可以使用.-Using java to implementation a logistic regression algorithm, the compressed package including test data.
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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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逻辑回归是目前流行的神经网络算法的实现基石，本程序通过简单的例子介绍了逻辑回归的思想以及算法拓展。-Logistic regression is a popular neural network algorithm to achieve a cornerstone of this program through a simple example and introduced the idea to expand the logistic regression algorithm.
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Logistic regression with newton rapson method. Written in C#. Net as Console App. Works perfectly Note: I used Türkçe When i decided to use türkçe names.
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使用梯度下降法、随机梯度下降法和牛顿法实现的逻辑回归算法。-Using a gradient descent method, stochastic gradient descent algorithm logistic regression method and Newton' s method to achieve.
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三种梯度下降的logistic regression机器学习入门代码(three logistic regression methods for machine learning)
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Logistic Regression for machine learning lessons
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K class Logistic Regression Classification based on K binary logistic classifiers
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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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