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

• Yandex Zen

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 Archived 2017-07-21 at the Wayback Machine . Retrieved 2015-12-24.
3. CERN boosts its search for antimatter with Yandex’s MatrixNet search engine tech. Retrieved 2015-12-24.