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.

CERN is using the algorithm to analyze and search through the colossal data outputs ...

MatrixNet: New Level of Search Quality

Gradient boosting ???

Gradient boosting is a machine learning technique for ...

Machine learning ???

Machine learning is the subfield of computer science ...
machine learning explores the study and construction of algorithms that can learn from and make predictions on data.

CERN boosts its search for antimatter with Yandex’s MatrixNet search engine tech
_{1 feb 2013}

Russian search giant Yandex is formalizing its partnership with CERN by joining its Openlab program.
The latest collaborative effort sees Yandex offering up its proprietary MatrixNet machine learning technology,
which powers the company’s internet search engine.
CERN, the European Organization for Nuclear Research,
plans to harness MatrixNet to analyze and search
through the colossal data outputs generated by
the use of the Large Hadron Collider [= LHC]. (...)