MatrixNet is a proprietary

machine learning Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of Computational statistics, statistical algorithms that can learn from data and generalise to unseen data, and thus perform Task ( ...

algorithm developed by

Yandex Yandex LLC ( rus, Яндекс, r=Yandeks, p=ˈjandəks) is a Russian technology company that provides Internet-related products and services including a web browser, search engine, cloud computing, web mapping, online food ordering, streaming ...

and used widely throughout the company products. The algorithm is based on

gradient boosting Gradient boosting is a machine learning technique based on boosting in a functional space, where the target is ''pseudo-residuals'' instead of residuals as in traditional boosting. It gives a prediction model in the form of an ensemble of weak ...

, and was introduced since 2009.MatrixNet: New Level of Search Quality
Retrieved 2015-12-24.

Application

CERN The European Organization for Nuclear Research, known as CERN (; ; ), is an intergovernmental organization that operates the largest particle physics laboratory in the world. Established in 1954, it is based in Meyrin, western suburb of Gene ...

is using the algorithm to analyze, and search through the colossal data outputs generated by the use of the

Large Hadron Collider The Large Hadron Collider (LHC) is the world's largest and highest-energy particle accelerator. It was built by the CERN, European Organization for Nuclear Research (CERN) between 1998 and 2008, in collaboration with over 10,000 scientists, ...

.CERN boosts its search for antimatter with Yandex’s MatrixNet search engine tech
Retrieved 2015-12-24.

References

{{Yandex Internet search engines Search engine optimization Yandex

Application

See also

References