Results 21 to 30 of about 3,854 (234)
Formal Context Generation Using Dirichlet Distributions [PDF]
, 2019 16 pages, 7 ...
Maximilian Felde, Tom Hanika
openaire +4 more sources
On Joint Distribution of General Dirichlet Series
Nonlinear Analysis: Modelling and Control, 2003 In the paper a joint limit theorem in the sense of the weak convergence in the space of meromorphic functions for general Dirichlet series is proved under weaker conditions as in [1].
Genys, Jonas, Laurinčikas, Antanas
openaire +3 more sources
Acceleration and Spectral Redistribution of Cosmic Rays in Radio-jet Shear Flows
The Astrophysical Journal, 2023 A steady-state, semi-analytical model of energetic particle acceleration in radio-jet shear flows due to cosmic-ray viscosity obtained by Webb et al. is generalized to take into account more general cosmic-ray boundary spectra.
G. M. Webb +7 more
doaj +1 more source
New Approach to q-Euler Numbers and Polynomials
Advances in Difference Equations, 2010 We give a new construction of the q-extensions of Euler numbers and polynomials. We present new generating functions which are related to the q-Euler numbers and polynomials.
Seog-Hoon Rim +3 more
doaj +1 more source
Monitoring Count Time Series in R: Aberration Detection in Public Health Surveillance
Journal of Statistical Software, 2016 Public health surveillance aims at lessening disease burden by, e.g., timely recognizing emerging outbreaks in case of infectious diseases. Seen from a statistical perspective, this implies the use of appropriate methods for monitoring time series of ...
Maëlle Salmon +2 more
doaj +1 more source
A Bayesian Nonparametric Model for Unsupervised Joint Segmentation of a Collection of Images
IEEE Access, 2019 Jointly segmenting a collection of images with shared classes is expected to yield better results than single-image based methods, due to the use of the shared statistical information across different images.
Jessica Sodjo +3 more
doaj +1 more source
Comparative evaluation of alternative Bayesian semi-parametric spatial crash frequency models
Journal of Traffic and Transportation Engineering (English ed. Online)Albeit with the notable benefits associated with Dirichlet crash frequency models and spatial ones, there is little research dedicated to exploring their combined advantages.
Gurdiljot Singh Gill +3 more
doaj +1 more source
Generalized Dirichlet Distribution Based on Confluent Hypergeometric Series
Academic Journal of Science and Technology, 2023 Dirichlet distribution is a kind of high-dimensional continuous probability distribution, which has important applications in the fields of statistics, machine learning and bioinformatics. In this paper, based on gamma distribution we study two two-dimensional random variables. Then we derive the properties of these two two-dimensional random variables
Ruixin Zhao, Hongmei Liu, Yu Tang
openaire +1 more source
Synonym‐based multi‐keyword ranked search with secure k‐NN in 6G network
IET Networks, EarlyView., 2022 Abstract Sixth Generation (6G) integrates the next generation communication systems such as maritime, terrestrial, and aerial to offer robust network and massive device connectivity with ultra‐low latency requirement. The cutting edge technologies such as artificial intelligence, quantum machine learning, and millimetre enable hyper‐connectivity to ...
Deebak Bakkiam David, Fadi Al‐Turjman
wiley +1 more source
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
Advanced Engineering Materials, EarlyView.This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source