To effectively address the challenges of undersampling techniques when handling imbalanced data, a new undersampling ensemble learning algorithm based on Kernel Density Estimation (KDEE) is proposed ...

Two-dimensional kernel density estimation plots illustrating training intensity distribution for both biathlon training programmes. Continuous two-dimensional (2D) Kernel Density Estimation (KDE) ...

The kernel density estimation method adopted in this paper is an improved method of this quadratic transformation—the Beta kernel density estimation under the generalized Logistic transformation.

AKDE: Multivariate Adaptive Kernel Density Estimation Using Gaussian Mixture Model AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional ...

Performing non-parametric Parzen Window density estimation with a Gaussian kernel, implementing the method both from scratch and using built-in functions, and compares the results across various ...

The reconstruction method based on adaptive kernel regression resolves conformational states to a higher resolution than all other tested methods on extensive independent benchmarks while remaining ...

Traffic congestion is an increasing challenge in almost all parts of the globe. In the US alone, over $300B is incurred due to overcrowding. Existing work in the field of “Network Traffic Density ...