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MatrixNet

From Wikipedia, the free encyclopedia

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

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CERNis using the algorithm to analyze, and search through the colossal data outputs generated by the use of theLarge Hadron Collider.[3]

See also

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References

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