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Minimizing robust estimates of sums of parameterized functions
Z. M. Shibzukhov Institute of Applied Mathematics and Automation, Nalchik
Abstract:
We discuss the robust approach to constructing machine learning algorithms based on minimizing robust finite sums of parameterized functions. This algorithm is based on finite robust differentiable aggregation summation functions, which are stable with respect to outliers.
Keywords:
robust algorithm, neural network, averaging aggregation function, iterative reweighing.
Citation:
Z. M. Shibzukhov, “Minimizing robust estimates of sums of parameterized functions”, Proceedings of the IV International Scientific Conference "Actual Problems of Applied Mathematics". Kabardino-Balkar Republic, Nalchik, Elbrus Region, May 22–26, 2018. Part II, Itogi Nauki i Tekhniki. Sovrem. Mat. Pril. Temat. Obz., 166, VINITI, Moscow, 2019, 95–109
Linking options:
https://www.mathnet.ru/eng/into481 https://www.mathnet.ru/eng/into/v166/p95
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Abstract page: | 159 | Full-text PDF : | 92 | References: | 25 |
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