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]

Application

CERN is using the algorithm to analyze and search through the colossal data outputs generated by the use of the Large Hadron Collider.[3]

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. ↑ CERN boosts its search for antimatter with Yandex’s MatrixNet search engine tech. Retrieved 2015-12-24.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.