English

A tutorial on MDL hypothesis testing for graph analysis

Machine Learning 2018-11-01 v1 Machine Learning

Abstract

This document provides a tutorial description of the use of the MDL principle in complex graph analysis. We give a brief summary of the preliminary subjects, and describe the basic principle, using the example of analysing the size of the largest clique in a graph. We also provide a discussion of how to interpret the results of such an analysis, making note of several common pitfalls.

Cite

@article{arxiv.1810.13163,
  title  = {A tutorial on MDL hypothesis testing for graph analysis},
  author = {Peter Bloem and Steven de Rooij},
  journal= {arXiv preprint arXiv:1810.13163},
  year   = {2018}
}

Comments

arXiv admin note: text overlap with arXiv:1701.02026

R2 v1 2026-06-23T04:58:47.017Z