Bayesian network
Improving Accuracy of Authentication Process via Short Free Text using Bayesian Network
... The Internet security system, besides using the multi components in authentication and verification of users and intruders, also uses IP address for the same purpose. Park et al. [18] proposed an intrusions detection ...
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An Emergency Unit Support System to Diagnose Chronic Heart Failure Embedded with SWRL and Bayesian Network
... A Bayesian Network is a graphical representation of probabilistic information expressed as directed acyclic graph with nodes that represent the variables with uncertain or missing values, and edges between ...
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Evaluation of a partial genome screening of two asthma susceptibility regions using bayesian network based bayesian multilevel analysis of relevance.
... called Bayesian network based Bayesian multilevel analysis of relevance ...uses Bayesian network representation to provide detailed characterization of the relevance of factors, such as ...
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Classification of EEG data using FHT and SVM based on Bayesian Network
... In this paper feature vector was extracted from the BCI competition IVA dataset using Fast Hartley Transform. Sub set selection of the obtained features after normalization was achieved using Support Vector Machine. ...
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A Bayesian network decision model for supporting the diagnosis of dementia, Alzheimer's disease and mild cognitive impairment
... a Bayesian network decision model for supporting diagnosis of dementia, AD and Mild Cognitive Impairment ...(MCI). Bayesian networks are well-suited for representing uncertainty and causality, which ...
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Japanese Dairy Cattle Productivity Analysis using Bayesian Network Model (BNM)
... Bayesian network model assisted to visualize the changes of posterior probability as the evidence increases and thus assists to improve the accurate findings of estrous cycles with other ...of ...
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Shop Inference System Using Location Data and Bayesian Network
... We aim to build a Bayesian network using the user location data, Web browsing history and other user attributes to infer the user’s current location. In addition, our goal includes creating a system that ...
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Mobile sensor network noise reduction and re-calibration using Bayesian network
... the Bayesian network is trained, the contents in the CPT remain unchanged until the sensor is close to a reference station and have access to the ground truth readings ...
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Multivariate Analysis of the Determinants of the End-Product Quality of Manure-Based Composts and Vermicomposts Using Bayesian Network Modelling.
... The second factor affecting the final contents of TC, LIG and N was mass loss via a concen- tration effect. This effect was stronger than that of the initial content (Fig 1a). For example, because LIG and N losses were ...
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A spatial Bayesian network model to assess the benefits of early warning for urban flood risk to people
... expert-informed Bayesian approach, whereby prefer- ence weights are implicitly captured by the network causal structure and by the conditional probability distribution val- idated by the ...
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A spatial Bayesian network model to assess the benefits of early warning for urban flood risk to people
... timate the flood damage to residential buildings using BNs trained on real world data, including usually neglected characteristics of the flooded objects and the results out- perform the traditional stage-damage-function ...
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A Probability-based Evolutionary Algorithm with Mutations to Learn Bayesian Networks
... for Bayesian networks was presented by Blanco et ...good Bayesian net- works within short ...to Bayesian networks, Kim et ...for Bayesian networks, and compares the performance of EDA-based ...
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A Bayesian methodology to study the simple maternity search problem
... Abstract. The use of DNA profiles in forensic identification problems are common procedure nowadays. It was in England, in 1995, where the first DNA profiles database was built. It gave rise to new challenges concerning ...
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The use of Bayesian Networks in Detecting the States of Ventilation Mills in Power Plants
... the Bayesian network should be decided ...with Bayesian networks are vast, and the only limit one faces when choosing them is the knowledge of the causal relationships within the physical system and ...
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Handwriting and Speech Prototypes of Parkinson Patients: Belief Network Approach
... stroke duration) of handwriting movements are affected by PD [6,7,8,9]. Researchers estimate that 89% of people with PD have speech and voice disorders including disorders of laryngeal, respiratory and articulatory ...
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Method for measuring factors that affect the performance of pilots
... The references used in obtaining the PSF are: Swain and Guttman (1983), NUREG 1792 (Kolaczkow- ski et al., 2005), and Chang and Mosleh (2007), Greenberg (2007), Roelen (2008) and Sundaramurthi and Smidts (2013). The ...
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User Characterization through Dynamic Bayesian Networks in Cognitive Radio Wireless Networks
... a Bayesian network for the characterization of the primary user (PU) in wireless networks (GSM ...cognitive network in making spectral ...on Bayesian networks allows to model and predict the ...
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ANALYSIS OF BAYESIAN CLASSIFIER ACCURACY
... the network may not provide appropriate ...a Bayesian network to provide good ...naïve Bayesian network and a hierarchical Bayesian ...naïve Bayesian network ...
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Bayesian approach to news recommendation systems
... A Bayesian network was chosen as the primary method to generate news suggestions for the new reader and the excess of variables was clustered using the K-means ...the network have been learned ...
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Efficient Bayesian inference for ARFIMA processes
... cesses (Granger and Joyeux, 1980; Hosking, 1981) as the basis of developing a sys- tematic and unifying Bayesian framework for modeling a variety of common time se- ries phenomena, with particular emphasis on ...
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