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Software maintenance project delays prediction using Bayesian Networks
(PERGAMON-ELSEVIER SCIENCE LTD, 2008)
Managing software maintenance is rarely a precise task due to uncertainties concerned with resources and services descriptions. Even when a well-established maintenance process is followed, the risk of delaying tasks remains ...
Bayesian network models in brain functional connectivity analysis
(Elsevier B.V., 2014-01-01)
Much effort has been made to better understand the complex integration of distinct parts of the human brain using functional magnetic resonance imaging (fMRI). Altered functional connectivity between brain regions is ...
Assessing mercury pollution in Amazon River tributaries using a Bayesian Network approach
(2018-12-30)
Mercury pollution of water bodies exerts significant human and ecosystem health impacts due to high toxicity. Relatively high levels of mercury have been detected in the Amazon River and its tributaries and associated ...
Consumption modeling based on Markov chains and Bayesian networks for a demand side management design of isolated microgrids
(Wiley, 2017)
This paper proposes a novel simulator of energy consumption patterns that allows designing demand side management(DSM) strategies without economic incentives. The simulator emulates consumers’patterns with and without ...
A Bayesian network decision model for supporting the diagnosis of dementia, Alzheimer's disease and mild cognitive impairment
(Pergamon-Elsevier Science Ltd, 2014-08-01)
Population aging has been occurring as a global phenomenon with heterogeneous consequences in both developed and developing countries. Neurodegenerative diseases, such as Alzheimer's Disease (AD), have high prevalence in ...
Reverse engineering directed gene regulatory networks from transcriptomics and proteomics data of biomining bacterial communities with approximate Bayesian computation and steady-state signalling simulations
(2020)
Abstract
Background
Network inference is an important aim of systems biology. It enables the transformation of OMICs datasets into biological knowledge. It consists of ...
HPB: A Model for Handling BN Nodes with High Cardinality Parents
(Microtome PublBrooklineEUA, 2008)
Solving the Levins' paradox in the logistic model to the population growth
(2011-08-30)
We introduce a new method to improve Markov maps by means of a Bayesian approach. The method starts from an initial map model, wherefrom a likelihood function is defined which is regulated by a temperature-like parameter. ...
Solving the Levins' paradox in the logistic model to the population growth
(2011-08-30)
We introduce a new method to improve Markov maps by means of a Bayesian approach. The method starts from an initial map model, wherefrom a likelihood function is defined which is regulated by a temperature-like parameter. ...