MatrixNet explained

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

Notes and References

1. http://company.yandex.com/technologies/matrixnet.xml MatrixNet: New Level of Search Quality
2. http://www.dataversity.net/yandex-boosts-precision-ad-targeting-machine-learning-method-matrixnet-is-behind-the-scenes/ Yandex Boosts Precision Ad Targeting; Machine-Learning Method MatrixNet Is Behind The Scenes
3. http://www.extremetech.com/extreme/147320-cern-boosts-its-search-for-antimatter-with-yandexs-matrixnet-search-engine-tech CERN boosts its search for antimatter with Yandex’s MatrixNet search engine tech