Timeline for Latent Dirichlet allocation - math words digest ?
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
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| Jul 10, 2018 at 22:17 | comment | added | Alexander Chervov | @RHahn thank you ! Please take a look at: datascience.stackexchange.com/questions/34083/… | |
| Jul 6, 2018 at 20:29 | comment | added | Carlo Beenakker | and in physics LDA is the en.wikipedia.org/wiki/Local-density_approximation | |
| Jul 6, 2018 at 19:52 | comment | added | R Hahn | @AlexanderChervov Hard to say exactly. Some combination of 1) computational feasibility of the implementation (definitely not true in de Finetti's time), 2) good marketing/branding, 3) reaching a new audience (computer scientists reading JMLR) and 4) the contemporary relevance of the applied problem (text classification in the internet age). Regarding branding, LDA was actually a "taken" term in traditional statistics, referring to a classification method invented by Fisher. en.wikipedia.org/wiki/Linear_discriminant_analysis ("Not to be confused with...") | |
| Jul 6, 2018 at 8:00 | history | edited | Carlo Beenakker | CC BY-SA 4.0 |
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| Jul 6, 2018 at 7:18 | comment | added | Alexander Chervov | @RHahn Thank you for you comment. Can you give a comment why these papers and LDA considered to be so important ? | |
| Jul 5, 2018 at 23:16 | comment | added | R Hahn | It might be worth mentioning that the heart of this answer (which I think is completely accurate) applies equally well to many probability models that do not go by the name LDA and describes the Bayesian approach to statistics more generally. The answer to a modified Q1 "Is there any new (circa 2003) non-trivial mathematical result behind LDA?" the answer is probably 'no'. | |
| Jul 5, 2018 at 21:59 | history | edited | Carlo Beenakker | CC BY-SA 4.0 |
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| Jul 5, 2018 at 21:50 | history | edited | Carlo Beenakker | CC BY-SA 4.0 |
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| Jul 5, 2018 at 21:39 | history | answered | Carlo Beenakker | CC BY-SA 4.0 |