Description: 关于Logistic回归统计算法的matlab实现，内容包括建模、输出变量预测和预测误差分析。数据来自UCI数据库中的Ionosphere database，有351个统计实例，输出变量是二分类变量，代表电波从电离层反射的好坏情况，共有32个特征值。(压缩包中包含已经处理好的数据)-on Logistic regression algorithm to achieve the Matlab, including modeling, variable output forecast and prediction error analysis. UCI data from the database Ionosphere database, Statistics are 351 examples, and the output variable is two classification variables, representatives from the ionosphere radio reflection of the good and bad, A total of 32 eigenvalue. (Compressed package contains good data already processed) Platform: |
Size: 1191936 |
Author:高 |
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Description: 这本书是《Logistic 回归模型---方法与应用 》作者：王济川 郭志刚，这是一本关于Logistic 回归的经典书籍
另外还上传了数据-this book is "Logistic regression model-- Methods and Applications" Author : Wang Chuan Guo Zhigang, This is a logistic regression on the classic books also upload data Platform: |
Size: 5663744 |
Author:高 |
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Description: 这是《Logistic 回归模型---方法与应用 》作者：王济川 郭志刚的书中有关的数据-This is the "Logistic regression model-- Methods and Applications" Author : Wang Chuan Guo Zhigang of the data book Platform: |
Size: 15360 |
Author:高 |
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Description: 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
used to incorporate restrictions on the conditional probabilities and to account for the
effect of covariates. Nominal variables are modeled with multinomial logistic regression,
whereas the category probabilities of ordered variables are modeled through a cumulative
or adjacent-categories response function. Variables can be observed, partially observed,
or hidden. Platform: |
Size: 245760 |
Author:代龙 |
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Description: ：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。 Platform: |
Size: 88064 |
Author:阿铁 |
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Description: 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 LIBLINEAR include
Same data format as LIBSVM, our general-purpose SVM solver, and also similar usage
Multi-class classification: 1) one-vs-the rest, 2) Crammer & Singer
Cross validation for model selection
Probability estimates (logistic regression only)
Weights for unbalanced data
MATLAB/Octave, Java interfaces
Platform: |
Size: 521216 |
Author:陳彥霖 |
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Description: 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-Gram
analysis techniques to the process of categorizing text files.
The package includes several different categorization algorithms, namelly
SVMs, Bayesian Logistic Regression, NN classification and a text compression
based algorithm. In the case of SVM and Bayesian Logistic Regression, a
"one-against-one" apprach is used for multiclass classification. For a more detailed description of these learning algorithms and the available options please consult the supplied javadocs. Platform: |
Size: 838656 |
Author:liwen |
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Description: 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 Platform: |
Size: 1024 |
Author:王善民 |
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Description: 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 Platform: |
Size: 16384 |
Author:Steve Evan |
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Description: Logistic Regression - a Classification method using the mnist DB, with sigmoid function and gradient ascent for optimization Platform: |
Size: 13306880 |
Author:idomit
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Description: 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.) Platform: |
Size: 88064 |
Author:mecthew |
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