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The extraction from news stories a causal topic centred bayesian graph for sugarcane
(Association for Computing Machinery - ACMMontreal, 2016-07)
Sugarcane is an important product to the Brazilian economy because it is the primary ingredient of ethanol which is used as a gasoline substitute. Sugarcane is affected by many factors which can be modelled in a Bayesian ...
A Bayesian approach for the reliability of scientific co-authorship networks with emphasis on nodes
(Elsevier B.V., 2017-01-01)
The co-authorship among members of a research group commonly can be represented by a (co-authorship) graph in which nodes represent the researchers that make up of this group and edges represent the connections between two ...
Predicting Facial Biotypes Using Continuous Bayesian Network Classifiers.
Bayesian networks are useful machine learning techniques that are able to combine quantitative modeling, through probability theory, with qualitative modeling, through graph theory for visualization. We apply Bayesian ...
Variable elimination, graph reduction and the efficient g-formula
(BiometrikaOxford University Press, 2023)
We study efficient estimation of an interventional mean associated with a point exposure treatment under a causal graphical model represented by a directed acyclic graph without hidden variables. Under such a model, a ...
Bayesian Route Choice Inference to Address Missed Bluetooth Detections
(2020)
By installing wireless sensors such as Bluetooth or Wi-Fi at a specific set of intersections and/or roadways it is possible to detect the passage of vehicles equipped with these technologies. However, Wi-Fi or Bluetooth-equipped ...
ECG arrhythmia classification based on optimum-path forest
(2013-07-01)
An important tool for the heart disease diagnosis is the analysis of electrocardiogram (ECG) signals, since the non-invasive nature and simplicity of the ECG exam. According to the application, ECG data analysis consists ...
ECG arrhythmia classification based on optimum-path forest
(2013-07-01)
An important tool for the heart disease diagnosis is the analysis of electrocardiogram (ECG) signals, since the non-invasive nature and simplicity of the ECG exam. According to the application, ECG data analysis consists ...