• ## Avoid using confrontational t-shirts for testing

Time：2021-7-15

Learn about the latest research behind the latest T-shirt patterns, the model spoofing an advanced body detection system By param RavalCompile FlinSource: to ward data science How can a person wearing a certain type of T-shirt make him invisible to body detection and human surveillance systems? Well, researchers have discovered and exploited the Achilles’ heel […]

• ## Polynomial regression, local regression, kernel smoothing and smooth spline regression models in R language

Time：2021-4-26

Link to the original text: http://tecdat.cn/?p=20531 In the standard linear model, we assume that  ​。 When the linear assumption cannot be satisfied, other methods can be considered. polynomial regression The extension may be based on the assumption of some polynomial functions, ​ Similarly, in the standard linear model method (using GLM’s conditional normal distribution), the […]

• ## Nonlinear models in R language: gam analysis of polynomial regression, local spline, smooth spline and generalized additive model

Time：2021-4-19

Link to the original text:http://tecdat.cn/?p=9706 Overview Here, we relax the assumption of the popular linear method. Sometimes the linear assumption is just a poor approximation. There are many ways to solve this problem, some of which can be solved by using regularization method to reduce the complexity of the model. However, these techniques still use […]

• ## R language generalized additive models (gams) analysis and prediction of CO2 time series data

Time：2021-4-6

Link to the original text:http://tecdat.cn/?p=20904  Many data in environmental science are not suitable for simple linear models, so it is better to use generalized additive model (GAM) to describe them. ​ This is basically an extension of the generalized linear model (GLM) with smooth functions. Of course, many complex things can happen when you use […]

• ## Polynomial regression, local regression, kernel smoothing and smooth spline regression models in R language

Time：2021-3-30

Link to the original text:http://tecdat.cn/?p=20531 In the standard linear model, we assume that​。 When the linear assumption cannot be satisfied, other methods can be considered. polynomial regression The extension may be based on the assumption of some polynomial functions, ​ Similarly, in the standard linear model method (using GLM’s conditional normal distribution), the parameter It […]

• ## Polynomial regression and spline regression analysis of R language ISLR wage data

Time：2021-3-27

Link to the original text:http://tecdat.cn/?p=8531 Perform polynomial regression usingageforecastwage. Cross validation is used to select the best degree of polynomial. What degree of choice does this have to do with usingANOVAWhat is the result of hypothesis test? The polynomial fitting data are plotted. Load the wage data set. An array that retains all cross validation […]

• ## In R language, standard least squares (OLS), generalized additive model (GAM) and spline function are used for logistic classification

Time：2021-3-19

Link to the original text:http://tecdat.cn/?p=21379  In this paper, we introduce logistic regression and spline curve. Logistic regression is based on the assumption that given covariates x, y have Bernoulli distribution,  ​ The purpose is to estimate the parameter β. Recall that using this function for this probability is   ​ Likelihood function Log likelihood   […]

• ## GAM and OLS regression in R language

Time：2021-3-11

Link to the original text:http://tecdat.cn/?p=20882  1 Introduction This paper discusses why the generalized additive model is a good choice. To do this, we first need to look at linear regression to see why in some cases it may not be the best choice. 2 Regression Model Suppose we have some data with two attributes y […]