GitHub

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 data. This Python implementation includes automatic grid construction for ...
IEEE

Motor Neuron Loss Detection Based on EMG Probability Density Function Shape Descriptors

Abstract: EMG interference pattern analysis is routinely used in the assessment of motor neuron loss. We propose systematizing interference pattern analysis by recording an isometric ramp contraction ...
INSPIRE

Analysis on the p-adic superspace. 1: Generalized functions: Gaussian distribution

The theory of generalized functions on the p‐adic superspace Q n,m p over the (super)commutative Banach superalgebra Λ=Λ0⊕Λ1 with the trivial Λ1 annihilator is proposed. The p‐adic Gaussian ...
IEEE

A Belief Rule Base Considering Random Variables of Adaptive Membership Functions

Abstract: With its inherent causal reasoning and superior capacity for handling uncertainty, the belief rule base (BRB) has been widely applied in complex systems modeling. As a generalization of ...