STOCHASTIC GRADIENT ALGORITHM BASED ON THE AVERAGE AGGREGATE FUNCTIONS
Journal Title: Вестник КРАУНЦ. Физико-математические науки - Year 2016, Vol 4, Issue
Abstract
The paper proposes a new scheme for the gradient solution to minimize losses averaged problem. It is an analog circuit used in the SAG algorithm in the case when the risk is calculated using the arithmetic mean. An illustrative example of the construction of robust classification based on the maximization of the surrogate median indentation.
Authors and Affiliations
Zaur Shibzukhov, Muhamed Kazakov
Keywords
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- EP ID EP487801
- DOI 10.18454/2079-6641-2016-16-4-1-112-125
- Views 132
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