Can machine learning identify interesting mathematics? An exploration using empirically observed laws
Machine Learning
2018-09-11 v3 Artificial Intelligence
Machine Learning
Abstract
We explore the possibility of using machine learning to identify interesting mathematical structures by using certain quantities that serve as fingerprints. In particular, we extract features from integer sequences using two empirical laws: Benford's law and Taylor's law and experiment with various classifiers to identify whether a sequence is, for example, nice, important, multiplicative, easy to compute or related to primes or palindromes.
Cite
@article{arxiv.1805.07431,
title = {Can machine learning identify interesting mathematics? An exploration using empirically observed laws},
author = {Chai Wah Wu},
journal= {arXiv preprint arXiv:1805.07431},
year = {2018}
}
Comments
9 pages, minor edits and fixed typos