Results 31 to 40 of about 12,786,622 (281)
Bayesian Network analysis of software logs for data‐driven software maintenance
IET Software, 2023 Software organisations aim to develop and maintain high‐quality software systems. Due to large amounts of behaviour data available, software organisations can conduct data‐driven software maintenance.
Santiago delRey +2 more
doaj +1 more source
Estimation and control using sampling-based Bayesian reinforcement learning
IET Cyber-Physical Systems, 2019 Real-world autonomous systems operate under uncertainty about both their pose and dynamics. Autonomous control systems must simultaneously perform estimation and control tasks to maintain robustness to changing dynamics or modelling errors.
Patrick Slade +3 more
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Modified complex multitask Bayesian compressive sensing using Laplacian scale mixture prior
IET Signal Processing, 2022 Bayesian compressive sensing (BCS) is an important sub‐class of sparse signal reconstruction algorithms. In this paper, a modified complex multitask Bayesian compressive sensing (MCMBCS) algorithm using the Laplacian scale mixture (LSM) prior is proposed.
Qilei Zhang, Lei Yu, Feng He, Yifei Ji
doaj +1 more source
CoreID Journal, 2023 Depression disorder is a serious issue in mental health that affects many individuals worldwide. This research analyzes the sentiments related to depression disorder on Twitter using the Naïve Bayes method.
Nur Lickha Lavenia, Reisa Permatasari
doaj +1 more source
Multivariate reliability modelling with empirical Bayes inference [PDF]
, 2007 Recent developments in technology permit detailed descriptions of system performance to be collected and stored. Consequently, more data are available about the occurrence, or non-occurrence, of events across a range of classes through time.
Quigley, J.L., Walls, L.A.
core +2 more sources
Variational Bayesian inference of linear state space models
The Journal of Engineering, 2019 This article studies a variational Bayesian method to fix the linear regression (LR) model of which regressors are Gaussian distributed with non-zero prior means, and then apply the method to the linear state space (LSS) model.
Chuanchao Pan +2 more
doaj +1 more source
Full polarisation ISAR imaging based on joint sparse Bayesian compressive sensing
The Journal of Engineering, 2019 This study proposes a joint sparse algorithm based on Bayesian compressive sensing to improve full polarisation inverse synthetic aperture radar (ISAR) imaging performance.
Yalong Gu +4 more
doaj +1 more source
, 2018 This paper focusses on the formulation of numerical integration as an inferential task. To date, research effort has largely focussed on the development of Bayesian cubature, whose distributional output provides uncertainty quantification for the integral.
Toni Karvonen +2 more
openaire +3 more sources
Sparse-Bayesian-learning-based translational motion estimation of electromagnetic vortex imaging
The Journal of Engineering, 2019 The electromagnetic (EM) vortex imaging has been found to have a great potential application prospect in the imaging radar field. However, current studies focus on the motionless target, which seriously limits its application in practice.
Rui Li +5 more
doaj +1 more source
ANALISIS KESALAHAN DALAM MENYELESAIKAN SOAL TEOREMA BAYES [PDF]
, 2022 Penelitian ini bertujuan mengidentifikasi dan menemukan penyebab mahasiswa melakukan kesalahan dalam menyelesaikan soal Teorema Bayes. Penelitian ini termasuk kualitatif deskriptif.
Aini, Septi Dariyatul, Nuritasari, Fetty
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