The purpose of this work is to improve the detection of fraud websites using Novel Linear Regression Algorithm and Recurrent Neural Network Algorithm. Materials and Methods: Novel Linear regression ...

Linear regression is a statistical approach that models the relationship between input features and output. The input features are called the independent variables, and the output is called a ...

This paper presents an efficient reversible algorithm for linear regression, both with and without ridge regression. Our reversible algorithm matches the asymptotic time and space complexity of ...

Using regression, real-valued targets are learned using the training set and predicted using the test set. For each regression algorithm, its parameters should be optimized based on the dataset. In ...

Discover the limitations of standard regression analysis and explore a reliable framework for linear regression. Learn about the H-principle and its application in mathematical modeling, providing ...