Recent studies have provided both empirical and theoretical evidence illustrating that heavy
tails can emerge in stochastic gradient descent (SGD) in various scenarios. Such heavy tails …

The intuitionistic fuzzy set is a useful tool to deal with vagueness and uncertainty.
Correlation coefficient of the intuitionistic fuzzy sets is an important measure in intuitionistic …

The following sections are a start on organizing references on stable distributions by topic. It
is far from complete. Starting on page 23 there is an extensive list of papers, most on stable …

In this paper, we describe a rotating anchor-based positioning method using time of arrival
(TOA) measurements to obtain the relative positional relationship between two locators …

This paper proposes a new solution to multi-target joint detection, tracking and classification
based on labeled random finite set (RFS) and belief function theory. A class dependent multi …

To find the relative positional relationship accurately and efficiently without pre-installed
infrastructure in emergent scenarios like firefighting, we proposed a rotating-anchor based …

Deep Learning (read neural networks) has emerged as one of the most exciting and
powerful tools in the statistical machine learning toolbox. Neural networks over the past …

This paper introduces an innovative approach for handling 2D compound hypotheses within
the Belief Function framework. We propose a polygon-based generic representation which …

Uncertainty is of paramount importance in artificial intelligence, applied science, and many
other areas of human endeavour. Whilst each and every one of us possesses some intuitive …

Computer network traffic features do not always conform with traditional Poisson and
Gaussian models. For instance, the α-stable distribution frequently provides a more accurate …