Bayesian Network Model
A Bayesian network model for spatial event surveillance
... a Bayesian network if the probability distribu- tions in the network, which are often obtained from limited data and/or subjective judgment, do not closely reflect ...a Bayesian network ...
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Ontology driven Bayesian Network Model for Semantic Expression
... Keywords: Bayesian network model, Medical diagnosis, Blood ...ontology-driven Bayesian network model is proposed using the semantic ontology knowledge base, which automatically ...
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Learning a Bayesian network model for predicting wildfire behavior
... a Bayesian network model for predicting wildfire behavior ...A Bayesian network (BN) model for predicting wildfire spreading was ...BN model was then constructed from ...
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A consistency contribution based bayesian network model for medical diagnosis
... This paper presents an effective Bayesian network model for medical diagnosis. The proposed approach consists of two stages. In the first stage, a novel fea- ture selection algorithm with ...
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A two‐stage Bayesian network model for corporate bankruptcy prediction
... The conditional probability of Pr (dlsrn|Scenario) is well suited to address what-if questions via a scenario analysis. In Table 6, the Bayesian network model generates a default probability of ...
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A Bayesian Network Model of the Particle Swarm Optimization for Software Effort Estimation
... algorithmic model provides a mathematical equation for estimation which is based upon the analysis of data gathered from previously developed projects and Non-algorithmic techniques are based on new approaches, ...
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Semantic aware Bayesian network model for actionable knowledge discovery in linked data
... semantic-aware Bayesian network model which exploits the semantic nature of LD and implicitly accommodates the data intelligence in the min- ing ...
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Bayesian Network Model of XP
... A Bayesian Network based mathematical model has been used for modelling Extreme Programming software development ...The model is capable of predicting the expected finish time and the expected ...
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A Bayesian Network Model for Spatio-Temporal Event Surveillance
... entity-based, Bayesian network method that has a simple temporal and spatial model of an outbreak ...The Bayesian network in PANDA contains a set of nodes for each individual in a ...
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A Bayesian Network Model for Risk Management in Cyber Situation
... high network traffic, a net flow filter that shows communication with known Botnet controllers is a more confident assertion on attacker ...effective model for such statistical differences on assertion ...
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Joining Analytic Network Process and Bayesian Network Model for Fault Spreading Problem
... of Bayesian networks currently extends over almost all fields including engineering, biology and medicine, information and communication technologies and ...of Bayesian networks in dealing the modeling of ...
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A multi-layered Bayesian network model for structured document retrieval
... BNR-2 model can be used to obtain a relevance value for each document given a query ...the network (N + M ) and the fact that, although its topology seems relatively simple, there are multiple pathways con- ...
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A Semi Supervised Bayesian Network Model for Microblog Topic Classification
... It is observed that our proposed scheme achieves promising precision, recall and F1 scores despite of limited availability of labeled data. For twitter dataset, most of the categories achieve precision score higher than ...
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A Bayesian network model for entity-oriented semantic web search
... the model has been to enable reasoning with more complex or expressive information requests, with semantics specified explicitly by users or incorporated via more implicit ...the model and can act as either ...
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Risk Analysis of Operating Room Using the Fuzzy Bayesian Network Model
... Bayesian Network Patient’s Safe A B S T R A C T To enhance Patient’s safety, we need effective methods for risk ...fuzzy Bayesian network to model and analyze risk in the operating ...
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Bayesian network model for flood forecasting based on atmospheric ensemble forecasts
... Figure 6. The ensemble forecasted precipitation and the observed cumulative precipitation. in the southeast of United States, where convection is largely governed by the near-surface forcing. According to Table 3, the ...
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Enhancing building performance : a Bayesian network model to support facility management
... The evaluation of building performance with the proposed BN model combines the perspective of different stakeholders, namely: facility managers, occupants, and owners. The first perspective relates to the ...
234
A Bayesian Network Model for Predicting Post-stroke Outcomes With Available Risk Factors
... a model on it. We evaluated the performance of Bayesian networks with a reduced variable set selected by information gain and Bayesian network algorithms that are popular in filter and wrapper ...
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A trust and reputation model based on bayesian network for web services
... A. Trust based on direct experience We propose a Bayesian network model to compute trust values. The idea behind that comes from the problem of multiple QoS context trust. In reality, different ...
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Development of a Bayesian Belief Network Runway Incursion Model
... this model, the HFACS states for all of the possible RI event participants are considered together as either being deficient (one or more participant has HFACS issues, worst case) or fully adequate (no HFACS ...
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