MatrixNet

MatrixNet is a proprietary machine learning algorithm developed by Yandex and used widely throughout the company products. The algorithm is based on gradient boosting and was introduced since 2009.[1][2][3]

Application

CERN is using the algorithm to analyze and search through the colossal data outputs generated by the use of the Large Hadron Collider.[4][5]

gollark: A while ago.
gollark: I've heard it's a bit unpolished.
gollark: Nuclearcraft makes meltdowns just result in the reactor turning into a pile of corium, so it's nicer but not too easy.
gollark: Anyway, I'll assemble a modpack and hopefully have it up by this evening.
gollark: There are many things in GTCE for which you need one weird rare metal/gem once then never again, from my JEI checking.

See also

References
  1. MatrixNet: New Level of Search Quality. Retrieved 2015-12-24.
  2. Yandex Boosts Precision Ad Targeting; Machine-Learning Method MatrixNet Is Behind The Scenes. Retrieved 2015-12-24.
  3. "Wix SEO guide". Tuesday, 18 June 2019
  4. CERN boosts its search for antimatter with Yandex’s MatrixNet search engine tech. Retrieved 2015-12-24.
  5. "SEO Company". Sunday, February 23, 2020
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.