Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory

Kernel density estimation (KDE) stands out as a challenging task in machine learning. The problem is defined in the following way: given a kernel function $f(x,y)$ and a set of points $\{x_1, x_2, \cdots, x_n \} \subset \mathbb{R}^d$, we would like to compute $\frac{1}{n}\sum_{i=1}^{n} f(x_i,y)$ for...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Liang, Jiehao, Song, Zhao, Xu, Zhaozhuo, Yin, Junze, Zhuo, Danyang
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!