Robotics & Machine Learning Daily News2024,Issue(Apr.24) :44-45.

Siberian Federal University Researcher Details Research in Machine Learning (Mac hine Learning in Quasi-Newton Methods)

Robotics & Machine Learning Daily News2024,Issue(Apr.24) :44-45.

Siberian Federal University Researcher Details Research in Machine Learning (Mac hine Learning in Quasi-Newton Methods)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news reporting fromKrasnoyarsk, Russia, by NewsR x journalists, research stated, “In this article, we consider the correction ofmetric matrices in quasi-Newton methods (QNM) from the perspective of machine le arning theory. Basedon training information for estimating the matrix of the se cond derivatives of a function, we formulate aquality functional and minimize i t by using gradient machine learning algorithms.”

Key words

Siberian Federal University/Krasnoyarsk/Russia/Eurasia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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