The \(L_2\) convergence of stream data mining algorithms based on probabilistic neural networks

DOI10.1016/j.ins.2023.02.074OpenAlexW4322505970MaRDI QIDQ6126681

Aleksander Byrski, Maciej Jaworski, Cao, Jinde, Piotr Duda, Danuta Rutkowska, Dacheng Tao, Leszek Rutkowski

Publication date: 9 April 2024

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2023.02.074

zbMATH Keywords

global convergencestream data miningparzen kernel

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Cites Work

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• On the density estimation of air pollution in Beijing
• Data streams. Models and algorithms.
• Estimation of a multivariate density
• Nonparametric System Identification
• Stream Data Mining: Algorithms and Their Probabilistic Properties
• On Estimation of a Probability Density Function and Mode

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