β-divergence loss for the kernel density estimation with bias reduced by Hamza Dhaker, El Hadji Deme, Youssou Ciss

“…This framework examines the most important bandwidth selection methods for kernel density estimation in the context of with bias reduction. …”
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An Adaptive Background Subtraction Method Based on Kernel Density Estimation by Mignon Park, Jeisung Lee

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

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Space and time efficient kernel density estimation in high dimensions by Indyk, Piotr, Wagner, Tal

“…Recently, Charikar and Siminelakis (2017) presented a framework for kernel density estimation in provably sublinear query time, for kernels that possess a certain hashing-based property. …”
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Using Conditional Kernel Density Estimation for Wind Power Forecasting by Taylor, J

Kernel density estimation and transition maps of Moldavian Neolithic and Eneolithic settlement by Robin Brigand, Olivier Weller

“…The data presented in this article are related to the research article entitled “Neo-Eneolithic settlement pattern and salt exploitation in Romanian Moldavia” (Brigand and Weller, 2018) [1]. Kernel density estimation (KDE) is used in order to move beyond the discrete distribution of sites and to enable us to work on a continuous surface that reflects the intensity of the occupation in the space. …”
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Weakly supervised segment annotation via expectation kernel density estimation by Liantao Wang, Qingwu Li, Jianfeng Lu

“…They also propose an expectation kernel density estimation algorithm to gain further insight into the voting mechanism. …”
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A Greedy Algorithm for Unimodal Kernel Density Estimation by Data Sharpening by Mark A. Wolters

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Deconvoluting kernel density estimation and regression for locally differentially private data by Farhad Farokhi

“…We use the framework of deconvoluting kernel density estimators to remove the effect of privacy-preserving noise. …”
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Degradation assessment for the ball screw with variational autoencoder and kernel density estimation by Juan Wen, Hongli Gao

“…After that, the kernel density estimation is utilized to estimate the probability distribution of health indicator points in a dynamic sliding window, and then, the deterioration can be evaluated by summarizing the probability distribution that exceeds a predefined threshold. …”
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An Improved Model for Kernel Density Estimation Based on Quadtree and Quasi-Interpolation by Jiecheng Wang, Yantong Liu, Jincai Chang

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On the fourth-order hybrid beta polynomial kernels in kernel density estimation by Benson Ade Eniola Afere

Subjects: “…Kernel density estimation…”
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Size Frequency Analysis by Averaged Shifted Histograms and Kernel Density Estimators by I.H. SALGADO-UGARTE

“…In this study we used kernel density estimators (KDE) computed by computationally efficient algorithms (averaged shifted histograms) to analyze published size data of coral trout (Plectropomus leopardus). …”
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Mixture analysis and kernel density estimation with applications to image segmentation and retrieval by Yang, Xiangyu

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The adaptive gamma-BSPE kernel density estimation for nonnegative heavy-tailed data by Yasmina ZIANE, Nabil Zougab, Smail Adjabi

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Wind Power Prediction Based on LSTM Networks and Nonparametric Kernel Density Estimation by Bowen Zhou, Xiangjin Ma, Yanhong Luo, Dongsheng Yang

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Kernel Density Estimation of White Noise for Non-diversifiable Risk in Decision Making by Emma Anyika Shileche, Patrick Weke, Thomas Achia

“…A curve estimation of the wn is made using Kernel Density Estimation (KDE). KDE is a non-parametric way to estimate the probability density function of a random variable. …”
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Clustering and Kernel Density Estimation for Assessment of Measurable Residual Disease by Flow Cytometry by Hugues Jacqmin, Bernard Chatelain, Quentin Louveaux, Philippe Jacqmin, Jean-Michel Dogné, Carlos Graux, François Mullier

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Kernel Density Estimation-based Lightweight IoT Anomaly Traffic Detection Method by ZHANG Ye, LI Zhi-hua, WANG Chang-jie

Subjects: “…iot|kernel density estimation|anomaly detection|bot net|feature selection…”
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Evaluation of threshold selection methods for adaptive kernel density estimation in disease mapping by Warangkana Ruckthongsook, Chetan Tiwari, Joseph R. Oppong, Prathiba Natesan

Subjects: “…Kernel density estimation…”
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