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高风代码
- 本内容是有关机器学习的包含贝叶斯分类器，随机森林，支持向量机，神经网络，logistic多元回归等(The contents of this paper are machine learning, including Bayesian classifier, random forest, support vector machines, neural network, logistic multiple regression and so on)
PLS-logistic.tar
- Program Logic Controller
lec5
- Logistic (regression) classification
data
- 逻辑回归数据集，可以用来测试逻辑回归算法精度，用来调参(logistic regression data set)
(1)线性回归、logistic回归和一般回归
- logic descr iption
logistic
- z = log(abs(lambda-2*lambda.*x)); %各个lambda值都要计算一遍(z = log(abs(lambda-2*lambda.*x));)
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)
djamel_logistique
- logistic map chaotic
IV值计算
- IV值的全称是information value，中文的就是信息量或信息值，其主要作用就是当我们在用决策树或逻辑回归构建分类模型时对变量进行筛选(The full name of IV value is information value. Chinese is information or information value. Its main function is to filter variables when we use decision tree or logistic regre
logistic代码
- 在matlab平台上编写的回归分析代码，提供思路指导。(Regression analysis code written in matlab platform)
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)
Distributions
- 分布: 二项式分布、指数分布、逻辑函数分布、正态分布、泊松分布(distrubutions: binomial distribution,exponential distribuion,logistic distribution,Normal distribution and poisson distribution)
logRegres
- 机器学习中的逻辑回归代码，含两个数据集，用python实现(logistic regression code in machine learning,including two datasets)
8
- 图像加密的相关算法,,部分混沌映射的仿真分岔图, 以及logistic map(Image Encryption Related Algorithms, Partially Chaotic Mapping Simulated Bifurcation Maps, and Logistic Map)
10
- 图像加密的相关算法、部分混沌映射的模拟分岔和logistic映射(Correlation algorithms for image encryption, simulation bifurcations of partially chaotic maps, and logistic map)
11
- 基于二维logistic的映射进行混沌加密算法，保证信息的安全可靠性(Based on the two-dimensional logistic mapping chaotic encryption algorithm to ensure the safety and reliability of information)
MLInActionCode-master
- 机器学习实战的源代码集合，第一部分主要介绍机器学习基础，以及如何利用算法进行分类，并逐步介绍了多种经典的监督学习算法，如k近邻算法、朴素贝叶斯算法、Logistic回归算法、支持向量机、AdaBoost集成方法、基于树的回归算法和分类回归树（CART）算法等。第三部分则重点介绍无监督学习及其一些主要算法：k均值聚类算法、Apriori算法、FP-Growth算法。第四部分介绍了机器学习算法的一些附属工具(Machine learning combat source code collection
tensorflow_examples
- 建立人工神经网络模型，包括使用keras建模，logistic regression model(Use tensorflow to construct neural network)
data
- this is the code for execution of linear logistic and svm regression
Schmidt-Segmentation (HMM heart sound)-Code-master
- Matlab code for the Schmidt HMM-based heart sound segmentation. An example of the implementation of this code can be found in “run_Example_Schmidt_scr ipt.m”. This code is derived from the paper: S. E. Schmidt et al., "Segmentation of heart s