Results 31 to 40 of about 5,243,869 (304)
Use of the q-Gaussian mutation in evolutionary algorithms [PDF]
, 2010 Copyright @ Springer-Verlag 2010.This paper proposes the use of the q-Gaussian mutation with self-adaptation of the shape of the mutation distribution in evolutionary algorithms.
Yang, S +5 more
core +1 more source
Effects of vertical ship exhaust plume distributions on urban pollutant concentration – a sensitivity study with MITRAS v2.0 and EPISODE-CityChem v1.4 [PDF]
Geoscientific Model Development, 2022 The modeling of ship emissions in port areas involves several uncertainties and approximations. In Eulerian grid models, the vertical distribution of emissions plays a decisive role for the ground-level pollutant concentration.
R. Badeke +3 more
doaj +1 more source
Distributed Gaussian Processes
, 2015 Copyright © 2015 by the author(s).To scale Gaussian processes (GPs) to large data sets we introduce the robust Bayesian Committee Machine (rBCM), a practical and scalable product-of-experts model for large-scale distributed GP regression. Unlike state-of-the-art sparse GP approximations, the rBCM is conceptually simple and does not rely on inducing or ...
Deisenroth, MP, Ng, JW
openaire +5 more sources
Improved Bernoulli Sampling for Discrete Gaussian Distributions over the Integers
Mathematics, 2021 Discrete Gaussian sampling is one of the fundamental mathematical tools for lattice-based cryptography. In this paper, we revisit the Bernoulli(-type) sampling for centered discrete Gaussian distributions over the integers, which was proposed by Ducas et
Shaohao Xie, Shaohua Zhuang, Yusong Du
doaj +1 more source
Invariances for Gaussian models [PDF]
, 2015 At the heart of a statistical analysis, we are interested in drawing conclusions about random variables and the laws they follow. For this we require a sample, therefore our approach is best described as learning from data.
Adametz, David
core +1 more source
Statistical image fusion with generalised Gaussian and Alpha-Stable distributions [PDF]
, 2007 This paper describes a new methodology for multimodal image fusion based on non-Gaussian statistical modelling of wavelet coefficients of the input images.
Loza, AT +7 more
core +1 more source
Generalised discretisation of continuous-time distributions
The Journal of Engineering, 2020 In this study, the definition of discretisation that was proposed recently for continuous-time distributions is made applicable not only to ordinary functions but to a variety of distributions including weak derivatives such that they could be viewed ...
Shin Kawai, Noriyuki Hori, Noriyuki Hori
doaj +1 more source
Main Paths of Brain Fibers in Diffusion Images Mixed with a Noise to Improve Performance of Tractography Algorithm-Evaluation in Phantom [PDF]
Journal of Biomedical Physics and EngineeringBackground: Some voxels may alter the tractography results due to unintentional alteration of noises and other unwanted factors.Objective: This study aimed to investigate the effect of local phase features on tractography results providing data are mixed
Alireza Shirazinodeh +5 more
doaj +1 more source
K-L Divergence Based Image Classification and the Application [PDF]
Journal of Systemics, Cybernetics and Informatics, 2021 Image classification is widely used in many fields. Traditional metric learning based classification methods always maximize between-class distances and minimize within-class distances based on features calculated from each individual.
Fuhua Chen, Xuemao Zhang, Guangtai Ding
doaj
Journal of Marine Science and Engineering, 2021 In this study, a Level III reliability design of an armor block of rubble mound breakwater was developed using the optimized probabilistic wave height model for the Korean marine environment and Van der Meer equation.
Yong Jun Cho
doaj +1 more source