Abstract: A graph decomposition model is combined with recent developments in least squares methods for matching attributed graphs. In particular, we show how this approach improves the robustness of ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

This repository contains a project I completed for an NTU course titled CB4247 Statistics & Computational Inference to Big Data. In this project, I applied regression and machine learning techniques ...

In the world of statistics and data analysis, one of the most common tasks is determining how two variables are related. The least squares regression line is a powerful tool used to quantify this ...

Introduction: This Toronto-based study explores how density metrics relate to the solar potential of rooftops and facades of buildings in neighbourhoods differentiated by their use classifications. In ...