MatrixNet
MatrixNetis a proprietarymachine learningalgorithm developed byYandexand used widely throughout the company products. The algorithm is based ongradient boosting,and was introduced since 2009.[1][2]
Application
[edit]CERNis using the algorithm to analyze, and search through the colossal data outputs generated by the use of theLarge Hadron Collider.[3]
See also
[edit]References
[edit]- ^MatrixNet: New Level of Search Quality.Retrieved 2015-12-24.
- ^Yandex Boosts Precision Ad Targeting; Machine-Learning Method MatrixNet Is Behind The Scenes.Retrieved 2015-12-24.
- ^CERN boosts its search for antimatter with Yandex’s MatrixNet search engine tech.Retrieved 2015-12-24.
