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 2009.¹²

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

References

MatrixNet: New Level of Search Quality. Retrieved 2015-12-24.
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.
CERN boosts its search for antimatter with Yandex’s MatrixNet search engine tech. Retrieved 2015-12-24.

[Matrixnet-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.

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Application

See also

References