Name
Title | ||
|---|---|---|
Can machine learning identify interesting mathematics? An exploration using empirically observed laws. |
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: Benfordu0027s law and Tayloru0027s law and experiment with various classifiers to identify whether a sequence is nice, important, multiplicative, easy to compute or related to primes or palindromes. |
Year | Venue | Field |
|---|---|---|
2018 | arXiv: Learning | Multiplicative function,Mathematical structure,Benford's law,Artificial intelligence,Law,Machine learning,Mathematics,Integer sequence |
DocType | Volume | Citations |
Journal | abs/1805.07431 | 0 |
PageRank | References | Authors |
0.34 | 1 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chai Wah Wu | 1 | 330 | 67.62 |