Results 31 to 40 of about 128,009 (300)
Bayesian Network analysis of software logs for data‐driven software maintenance
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
Empirical Bayes method for Boltzmann machines
Abstract We consider an empirical Bayes method for Boltzmann machines and propose an algorithm for it. The empirical Bayes method allows for estimation of the values of the hyperparameters of the Boltzmann machine by maximizing a specific likelihood function referred to as the empirical Bayes likelihood function in this study.
Muneki Yasuda, Tomoyuki Obuchi
openaire +2 more sources
Bayesian angular super-resolution for sea-surface target in forward-looking scanning radar
As the traditional imaging dead zone, how to achieve high angular resolution in forward-looking region is always a big challenge in radar imaging field. In recent years, many approaches are proposed to solve this problem.
Changlin Li +4 more
doaj +1 more source
Modified complex multitask Bayesian compressive sensing using Laplacian scale mixture prior
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
Estimating Bayes factors via thermodynamic integration and population MCMC [PDF]
A Bayesian approach to model comparison based on the integrated or marginal likelihood is considered, and applications to linear regression models and nonlinear ordinary differential equation (ODE) models are used as the setting in which to elucidate and
Calderhead, B., Girolami, M.
core +1 more source
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
Misjudgement probability estimation of product inspection based on uncertainty
The product inspection process with measurement uncertainty as a quality indicator is researched. Based on the product quality control information and the design and processing precision, the relationship between the misjudgement probability and ...
Huadong Fu +5 more
doaj +1 more source
Merging expert and empirical data for rare event frequency estimation : pool homogenisation for empirical Bayes models [PDF]
Empirical Bayes provides one approach to estimating the frequency of rare events as a weighted average of the frequencies of an event and a pool of events. The pool will draw upon, for example, events with similar precursors.
Lesley Walls +7 more
core +1 more source
The new generation Geometrical Product Specifications require consideration of the effects of measurement uncertainty in the product inspection. This study estimated the measurement results and the uncertainty by integrating the statistical production ...
Yinbao Cheng +5 more
doaj +1 more source
Bayes methods in group sequential clinical trials [PDF]
Bayesian methods for group sequential clinical trials have received increasing attention recently. They offer an approach for dealing with many difficult problems and have some practical advantages over frequentist methods.
Qian, Wendi
core +1 more source

