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Linear_regression
- Locally weighted polynomial regression LWPR is a popular instance based al gorithm for learning continuous non linear mappings For more than two or three in puts and for more than a few thousand dat apoints the computational expense of pre dic
libsvm-2.89
- 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
BMDCP
- 突变分为如下主要的几种：均值突变（最常见）、方差突变、线性回归突变（也称趋势突变）、概率突变、空间型突变、谱突变、模型参数突变，等等。贝叶斯突变检测属于概率突变检测方法，其特点是能给出突变点的概率分布图。-Mutations are divided into the following main categories: the mean mutation (the most common), variance mutation, linear regression mutation (also
nonlinear_regression_SVM
- 用于在matlab中实现非线性回归的支持向量机svm算法-Used matlab to implement non-linear regression algorithm of support vector machines svm
linearRegression
- 这是一个线性回归的函数。能够有效的进行回顾算法。其效果非常良好。-This is a linear regression function. Algorithm can be effectively reviewed. The effect is very good.
san-non
- 三元非线性回归分析,对多元非线性问题提出建议-Three non-linear regression analysis, make recommendations on the multiple nonlinear
BP
- BP神经网络训练程序，可以用来做各种计算，如线性拟合-BP neural network training procedures can be used for various calculations, such as linear regression, etc.
Matlab-svm-BP-compare
- 支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。-SVM and BP neural networks, although non-linear regr
Gradient-descent-of--regression
- 给定一组数据，用梯度下降法进行一元线性回归。包含数据和源程序。-Given a set of data, a linear regression using the gradient descent method. Contains the data and source code
classification
- 分类算法，包括KNN，SVM,Linear Regression, Naive Bayes四种-four algorithms of classification, includes KNN, SVM, Linear Regression, Naive Bayes
yiyuanhuiguifexi
- 进行一元线性回归分析，分析的模型y=a+bx+e,e服从N(0,sigma平方),以及根据所建的一元线性回归模型进行预测实例-A linear regression analysis, the analysis of the model y = a+bx+e, e obey N (0, sigma squared), and built a linear regression model to predict instance
regression
- 这是线性回归与分类的材料，通过该材料很好地了解回归的知识-This is the material of linear regression and classification, a good knowledge of the material by the return of
Linear-Regression
- 线性回归的学习算法。包括数据分析、线性回归、在线梯度下降、多项式回归。压缩包中给出.txt数据文件及说明文档。-Linear regression learning algorithm. Including data analysis, linear regression line gradient descent, polynomial regression. Compressed data given .txt file and documentation.
regression
- 机器学习算法，预测数值型回归，岭回归和逐步线性回归-Machine learning algorithms to predict numerical regression, ridge regression and stepwise linear regression
Linear-Regression
- 本算法通过简单的例子实现演示了线性回归的实现原理和流程。-The algorithm is realized by a simple example illustrates the linear regression principle and processes.
Regression
- 机器学习线性回归的小程序，语言是java-linear regression
Linear-Regression
- Linear Regression Exercises. We our Design Matrix as 1st, 2nd, and 9th-order Quadratic Functions and try to fit a simple data.-Linear Regression Exercises. We our Design Matrix as 1st, 2nd, and 9th-order Quadratic Functions and try to fit a simp
regression
- 用线性回归找到最佳拟合直线，局部线性加权回归(locally weighted linear regression)
HW1-regression
- 线性回归梯度下降法程序，用python实现adagrad梯度下降法(Linear regression gradient descent method, using Python to achieve adagrad gradient descent method.)
avazu-CTR-Prediction-LR
- CTR Linear Regression prediction