Contains examples in which data is generated using a linear / quadratic model and then regression is performed to retrieve the original function parameters. Multivariate regression is also included in ...

This version of SVM utilizes quadratic loss function ... an interval linear regression function in a high dimensional feature space. The proposed algorithm is a very attractive approach to modeling ...

In this paper, the implementation of linear-quadratic ... experiment using a strongly non-linear dynamic system was conducted and the proposed cost function is proved to be effective and enables the ...

It allows data analysts and devs to communicate with the rest of their organization using a tool (spreadsheets) most people know how to work with. “Quadratic is on a mission to build the best ...

Modeling: Both linear and quadratic models are used to fit ... Use the SerialCorrelationTest class to analyze raw price data and residuals from both models. Visualize results: Use the plotting ...