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: 《计量地理学》（徐建华，高等教育出版社，2005）配套实习指导,利用Matlab编程计算非线性回归模型,以Logistic曲线为例- Quantitative geography (Xu Jianhua, Higher Education Press, 2005) supporting practice guidance, the use of Matlab programming non-linear regression model calculated to Logistic curve as an example Platform: |
Size: 26624 |
Author:林沐生 |
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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: 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: 实现在参数先验是高斯分布情况下，利用马尔科夫链蒙特卡洛算法来对Logistic 回归模型参数的后验分布进行抽样
-It implements different Markov Chain Monte Carlo strategies for sampling from the posterior distribution over the parameter values for Logistic Regression models with a Gaussian prior on the parameter values. Platform: |
Size: 29696 |
Author:王而山 |
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Description: this program compare the Locally Weighted Linear Regression with three diferrent kernel function (gaussian, logistic basis, and Reciprocal Multiquadric) also compare locally weighted by simple Linear Regression. Platform: |
Size: 9216 |
Author:maisam |
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Description: matlab实现logistic回归 利用牛顿迭代的方法得到最后的回归参数-matlab realize logistic regression using Newton iteration method to get the final regression parameters Platform: |
Size: 2048 |
Author:jessicaxaa |
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Description: 逻辑蒂斯回归模型，用于概率预测，或者分类。内附matlab代码，以及运行数据，可直接运行。(this is an matlab code of logistic regression which could use for data classification and properbility predict. u can direcctly use this code and th data inside.) Platform: |
Size: 1024 |
Author:ally525
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Description: 该逻辑蒂斯回归模型matlab程序用于数据多分类，适用于有监督，学习型模型。(the matlab code of logistic regression used for data multi-classification. it is a kind of unsurpervisor study.) Platform: |
Size: 7506944 |
Author:ally525
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Description: logistic回归matlab程序设计，里面包含例子，只需修改数据即可。(Logistic regression matlab programming, which contains examples, just need to modify the data.) Platform: |
Size: 10240 |
Author:moluoker |
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Search - matlab logistic regression