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][3]

Application

CERN is using the algorithm to analyze and search through the colossal data outputs generated by the use of the Large Hadron Collider.[4][5]

See also

References

This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.