A multiple kernel-based kernel density estimator for multimodal probability density functions

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Jia-Qi Chen, Yu-Lin He, Yingchao Cheng, Philippe Fournier-Viger, Joshua Zhexue Huang

Published: 01 Jan 2024, Last Modified: 03 Feb 2025Eng. Appl. Artif. Intell. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Multimodal probability density estimation problem was solved in a novel way.•Multiple kernel-based kernel density estimator (MK-KDE) was firstly constructed.•Efficient objective function was designed to obtain the optimized kernel parameters.•Persuasive experiments are designed to demonstrate effectiveness of MK-KDE.