Large and moderate deviation principles for nonparametric recursive kernel distribution estimators defined by stochastic approximation method by Yousri Slaoui

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An Introduction to Development of Centralized and Distributed Stochastic Approximation Algorithm with Expanding Truncations by Wenxiao Zhao

Subjects: “…stochastic approximation algorithm…”
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Stochastic approximation algorithm for industrial process optimisation by Jesús Everardo Olguín Tiznado, Rafael García Martínez, Claudia Camargo Wilson, Juan Andrés López Barreras

Subjects: “…stochastic approximation algorithm…”
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Nonparametric relative recursive regression by Slaoui Yousri, Khardani Salah

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Optimal bandwidth selection for recursive Gumbel kernel density estimators by Slaoui Yousri

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Stochastic Approximate Algorithms for Uncertain Constrained <i>K</i>-Means Problem by Jianguang Lu, Juan Tang, Bin Xing, Xianghong Tang

Subjects: “…stochastic approximate algorithms…”
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Multi-Time Scale Smoothed Functional With Nesterov&#x2019;s Acceleration by Abhinav Sharma, K. Lakshmanan, Ruchir Gupta, Atul Gupta

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