[HN Gopher] Learning Mathematical Properties of Integers
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Learning Mathematical Properties of Integers
Author : Anon84
Score : 48 points
Date : 2021-09-18 12:40 UTC (10 hours ago)
(HTM) web link (arxiv.org)
(TXT) w3m dump (arxiv.org)
| vincent-toups wrote:
| Crazy, I just recommended this exact approach to a student in my
| data science class.
| dr_dshiv wrote:
| It's like, so Pythagorean
| C-x_C-f wrote:
| From the paper:
|
| > While human aptitude questions focus on a specific range of
| patterns that are relatively easy for people to identify, we also
| want to test the predictive abilities on the OEIS test set
| sequences which showcase more sophisticated phenomena. The LSTM
| embeddings yield higher accuracy in that case.
|
| Pretty cool to think that we might be able to use computers to
| spot elusive patterns in sequences in the (not too distant?)
| future. Kinda feels like asking an alien for help with a tricky
| problem on a math problem set. Many fascinating areas of math
| research originated from spotting patterns in sequences (best
| example I can think of is how the monstrous moonshine was
| discovered [1]); it would be nice to have a 'sixth sense' of
| sorts to help with that.
|
| I don't know much about ML but I'd be interested to see if this
| ever gets applied to slightly more abstract mathematical objects
| like group presentations, knots/links, (co)homology groups--but I
| guess none of those have training sets even comparable to the
| OEIS...
|
| [1] https://en.wikipedia.org/wiki/Monstrous_moonshine#History
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(page generated 2021-09-18 23:02 UTC)