Zobrazeno 1 - 1
of 1
pro vyhledávání: '"Cuevas, Karla Hernández"'
Autor:
Cuevas, Karla Hernández
Stochastic approximation (SA) is a powerful class of iterative algorithms for nonlinear root-finding that can be used for minimizing a loss function, $L(\boldsymbol{\theta})$, with respect to a parameter vector $\boldsymbol{\theta}$, when only noisy
Externí odkaz:
http://arxiv.org/abs/1707.06700
