搜索资源列表
LogisticRegression
- 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 pre
LR
- 机器学习中的关于逻辑回归（LR）方法的分类器，Matlab源码，附带四个数据集用于实验-Machine Learning on the logistic regression (LR) method of classification, Matlab source code, with four data sets for experiments
webcat
- 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
LR_adult
- 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
logistic-regression
- 采用随机梯度算法，来利用逻辑回归对训练集进行分类-Classify the training set by logistic regression
2d-logistic-regression
- 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.
mlclass-ex3
- 斯坦福机器学习公开课，第三次练习作业，向量化实现，logistic分类和神经网络-Stanford open class machine learning, the third practice operations, to quantify the realization, logistic and neural network classification
logistic-regression
- 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
Logistic-Regression
- Logistic算法的分类算法实现，讲解清晰明了，值得学习-Logistic Algorithm classification algorithm, explain clarity, it is worth learning
logistic-regressionpy
- python实现简单二分类逻辑回归，主要使用梯度上升实现-python simple binary logistic regression, the main use of gradient ascent realization
Logistic Regression
- 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.)
logistic regression
- 逻辑回归算法来进行分类，并计算查全率和召回率(Logical regression algorithm is used to classify .and to calculate recall and recall rate)
logistic
- 用于模式识别中分类器的实现，罗杰斯特回归的实现 ，有数据实例，能够观察到分类结果和收敛曲线(logistics regression)
LogisticRegression
- 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.)
多分类逻辑回归
- 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.)
nn_classification
- 使用单隐层神经网络进行二分类 使用python语言，先生成一个数据集，无法（但尝试）用logistic回归对数据集进行二分类，最后使用单隐层神经网络对数据集进行分类(classify a dataset with a 3-dimensional hidden layer)
logisitc regression
- 利用逻辑回归原理算法实现经典的鸢尾花分类问题(Using logistic regression algorithm to realize classical iris classification problem)
Logistic
- 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.)
4逻辑回归分类_配套代码
- 吴恩达的course公开课上面logistic回归做分类的课程代码(Wu Enda's course open class, logistic regression to do the classification of curriculum code)
Classifiers
- 我们需要成百上千的分类器来解决现实世界的分类吗 我们评估179分类17种分类器（判别分析，贝叶斯，神经网络，支持向量机，决策树，基于规则的分类器，升压、装袋、堆放、随机森林和其他合奏，广义线性模型，线性，偏最小二乘法和主成分回归，logistic回归、多项式回归、多元自适应回归样条等方法），实现在WEKA，R（有或没有插入包），C和Matlab，包括所有目前可用的相关分类。(Do-we-Need-Hundreds-of-Classifiers-to-Solve-Real-World-Class