MatrixNet
MatrixNet Es un algoritmo de aprendizaje automático propietario desarrollado por Yandex y es utilizado ampliamente por los productos de compañía. El algoritmo está basado en el modelo predictivo Gradient boosting y fue introducido desde el 2009.[1][2]
Aplicación
CERN Está utilizando este algoritmo para el análisis de los datos generados por el Gran colisionador de hadrones.[3]
Véase también
Referencias
- ↑ MatrixNet: New Level of Search Quality. Retrieved 2015-12-24.
- ↑ Yandex Boosts Precision Ad Targeting; Machine-Learning Method MatrixNet Is Behind The Scenes Archivado el 21 de julio de 2017 en Wayback Machine.. Retrieved 2015-12-24.
- ↑ CERN boosts its search for antimatter with Yandex’s MatrixNet search engine tech. Retrieved 2015-12-24.
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Datos: Q22031641
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