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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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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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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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这是一个100 ％纯Java库，您可以使用适用于N元
分析技术的过程分为文本文件。
该计划包括几个不同的分类算法， namelly
支持向量机，贝叶斯Logistic回归，神经网络分类和文本压缩 算法。如支持向量机和贝叶斯Logistic回归，一个 “一对一” 用于多类分类。更详细的说明这些学习算法和可用的选项，请提供的javadocs 。-It is a 100 pure Java library that you can use to apply N-Gr
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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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Logistic regression，逻辑斯特模型论文-Logistic regression, logistic model papers
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Regularized Logistic Regression
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2d logistic regression demo
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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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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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Logistic Regression - a Classification method using the mnist DB, with sigmoid function and gradient ascent for optimization
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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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