Search Results - "Bayesian network"

Bayesian network classification of gastrointestinal bleeding by Nazziwa Aisha, Adam, Mohd Bakri, Shohaimi, Shamarina, Mustapha, Aida

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Bayesian network modeling of gastrointestinal bleeding by Aisha, Nazziwa

“…This thesis uses a graphical modeling approach,specialcally Bayesian networks, to model the different outcomes of GIB. …”
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Job Titles Matching Using Bayesian Network by Abu Bakar, Azuraini

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Country Risk Modeling Using Bayesian Network by Asadi Ghajarloo, Siavash

“…The method for evaluating and rating risk level of country is based on the Bayesian network which enables prototype to predict risk under uncertain domain.…”
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Bayesian network modelling of upper gastrointestinal bleeding by Nazziwa Aisha, Shohaimi, Shamarina, Adam, Mohd Bakri

“…Bayesian networks are graphical probabilistic models that represent causal and other relationships between domain variables. …”
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Bayesian network model of crowd emotion and negative behavior by Ramli, Nurulhuda, Abdul Ghani, Noraida, Ahmad Hatta, Zulkarnain, Mohd Hashim, Intan Hashimah, Sulong, Jasni, Mohd Mahudin, Nor Diana, Abdul Rahman, Shukran, Mat Saad, Zarina

“…Utilizing a probabilistic model called Bayesian network, this paper models the dependence structure between different emotions and negative behaviors of pilgrims in the crowd. …”
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Conceptual change modeling using Dynamic Bayesian network by Ting, Choo Yee, Chong, Yen Kuan

“…Thirdly, how to construct the INQPRO learner model that employs Dynamic Bayesian networks (DBN) to compute a temporal probabilistic assessment of learner's properties that vary over time: awareness of current belief, cognitive conflict, conflict resolution, and ability to accommodate to new knowledge. …”
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Bayesian Network Classifiers for Damage Detection in Engineering Material by Mohamed Addin, Addin Osman

“…The Bayesian networks have two-sided strengths: It is easy for humans to construct and to understand, and when communicated to a computer, they can easily be compiled. …”
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Dynamic reliability analysis of corroded pipeline using Bayesian Network by Nurul Sa'aadah, Sulaiman, Tan, Henry

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Qualitative risk assessment in V-Blender using Bayesian Network by Nur Atikah, Md Azni, Nadiya, Abdul Halim, Wan Nurul Huda, Wan Zainal

“…The method of QRA that has been applied in this study is the Bayesian Network (BN) model. Furthermore, the BN is one of the risk assessment tools that present the parameters and their conditional independence using a directed aversion plot (DAG). …”
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Dynamic bayesian networks in Classification-and-Ranking Architecture of Response Generation by Mustapha, Aida, Sulaiman, Md. Nasir, Mahmod, Ramlan, Selamat, Mohd Hasan

“…Approach: This article investigates the use of dynamic Bayesian networks to include time-series information in the form of extended features from preceding utterances. …”
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Anomaly detection in vessel tracking: a Bayesian Networks (BNs) approach by Handayani, Dini, Sediono, Wahju

“…In this paper, we describe the use of Bayesian networks (BNs) approach to identify the behaviour of the vessel of interest. …”
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A case study on quality of sleep and health using Bayesian networks by Hong , Choon Ong, Chiew , Seng Lee, Chye , Ching Sia

“…The tool used is Bayesian networks (BNs), a special case of probabilistic graphical models. …”
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A two‐stage Bayesian network model for corporate bankruptcy prediction by Cao, Yi, Liu, Xiaoquan, Zhai, Jia, Hua, Shan

Subjects: “…Bayesian network; LASSO; Accounting ratios; Sensitivity analysis; Interpretability analysis…”
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Effect of missing value methods on Bayesian network classification of hepatitis data by Nazziwa Aisha, Adam, Mohd. Bakri, Shohaimi, Shamarina

“…For classification tasks, these imputation methods can affect the accuracy of the Bayesian network classifiers. This paper study’s the effect of missing value treatment on the prediction accuracy of four Bayesian network classifiers used to predict death in acute chronic Hepatitis patients. …”
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Bayesian Networks With Greedy Backward Elimination In Feature Selection For Data Classification by Ang, Sau Loong

“…This weakness causes not only confusion in the causal relationships among the features but also doubtful representation of the real structure of Bayesian Network for classification. Further development of Naive Bayes in augmenting extra links or dependent relationships between the features such as the Tree Augmented Naive Bayes (TAN) end up with slight improvement in accuracy of classification result where the main problems stated above remain unsolved.…”
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Identification of vessel anomaly behavior using support vector machines and Bayesian networks by Dwi Handayani, Dini Oktarina, Sediono, Wahju, Shah, Asadullah

“…In this work, a model based on Support Vector Machines (SVMs) classification to identify vessel anomaly behavior have been proposed and implemented, and the result is compared to Bayesian Networks (BNs). The works have been done using the real world Automated Identification System (AIS) vesselreporting data. …”
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A bayesian network approach to identify factors affecting learning of Additional Mathematics by Ong, Hong Choon, Kumarenthiran A/L Chandrasekaran

“…This study seeks to identify the factors that affect students in mastering Additional Mathematics at five schools in an urban area. Bayesian network is used to identify the relationship between the factors in the study and to analyze the data as it is able to represent the variables as nodes and the relationships as directed arcs. …”
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Development of risk assessment model for biomass plant boiler using bayesian network by F. A., Alaw, Nurul Sa'aadah, Sulaiman

“…Available risk methodologies are not able to provide accurate results for a combination of risks. In this work, Bayesian network approach is introduced to determine and predict risk associated with biopower boiler. …”
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Bayesian network for probability risk analysis of biomass boiler in renewable energy plant by Nurul Ain Syuhadah, Mohammad Khorri, Nurul Sa'aadah, Sulaiman

“…In this work, a probabilistic risk assessment model for empty fruit bunch boiler using Bayesian network approach was developed. Bayesian network provides a clear probabilistic model of cause-effect relationships of the biomass boiler system. …”
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