boundarycorrected
Boundary-corrected is a term used in various fields, including mathematics, physics, and computer science, to describe a method or approach that addresses or mitigates boundary effects. Boundary effects refer to distortions or inaccuracies that can occur at the edges or interfaces of a system, model, or dataset. These effects can arise due to various factors, such as finite sample sizes, truncation errors, or the influence of external boundaries.
The boundary-corrected approach aims to improve the accuracy and reliability of results by modifying or adjusting
In statistics and machine learning, boundary-corrected methods can be used to address issues related to finite
Overall, boundary-corrected approaches are valuable tools for mitigating boundary effects and enhancing the accuracy and reliability