Results 61 to 70 of about 16,211 (118)
Frontiers in MicrobiologyMicrobial contamination of water sources is a pressing global challenge, disproportionately affecting developing regions with inadequate infrastructure and limited access to safe drinking water. In the Global South, waterborne pathogens such as bacteria,
Sylvester Chibueze Izah +1 more
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Locally induced predictive models
2011 IEEE International Conference on Systems, Man, and Cybernetics, 2011 Most predictive modeling techniques utilize all available data to build global models. This is despite the wellknown fact that for many problems, the targeted relationship varies greatly over the input space, thus suggesting that localized models may improve predictive performance.
Ulf Johansson +2 more
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Application of Bayesian Neural Networks in Healthcare: Three Case Studies
Machine Learning and Knowledge ExtractionThis study aims to explore the efficacy of Bayesian Neural Networks (BNNs) in enhancing predictive modeling for healthcare applications. Advancements in artificial intelligence have significantly improved predictive modeling capabilities, with BNNs ...
Lebede Ngartera +2 more
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Models for Understanding Versus Models for Prediction [PDF]
, 2008 According to a standard point of view, statistical modelling consists in establishing a parsimonious representation of a random phenomenon, generally based upon the knowledge of an expert of the application field: the aim of a model is to provide a better understanding of data and of the underlying mechanism which have produced it.
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PLoS Computational BiologyNear infrared spectroscopy coupled with predictive modeling is a growing field of study for addressing questions in wildlife science aimed at improving management strategies and conservation outcomes for managed and threatened fauna.
Li-Dunn Chen +4 more
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Predictive Resilience Modeling Using Statistical Regression Methods
MathematicsResilience describes the capacity of systems to react to, withstand, adjust to, and recover from disruptive events. Despite numerous metrics proposed to quantify resilience, few studies predict these metrics or the restoration time to nominal performance
Priscila Silva +5 more
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Informing Disaster Recovery Through Predictive Relocation Modeling
ComputersHousing recovery represents a critical component of disaster recovery, and accurately forecasting household relocation decisions is essential for guiding effective post-disaster reconstruction policies.
Chao He, Da Hu
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A model of bankruptcy prediction
, 2001 By this thesis Eivind Bernhardsen completed his cand.oecon. degree at the University of Oslo. The thesis was financed by Norges Bank and was written as a part of a project on the development of supervisory credit risk models.
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Prediction with mixture models.
, 2014 Das Lernen eines Modells für den Zusammenhang zwischen den Eingabeattributen und annotierten Zielattributen von Dateninstanzen dient zwei Zwecken. Einerseits ermöglicht es die Vorhersage des Zielattributs für Instanzen ohne Annotation. Andererseits können die Parameter des Modells nützliche Einsichten in die Struktur der Daten liefern.
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Scientific ReportsBiomedical IoT, predictive modeling, disease diagnosis, and temporal data analysis have become essential components in modern healthcare systems. Accurate and efficient predictive disease modeling is crucial in biomedical IoT for early detection and ...
Chandragandhi S, Arvind C, Srihari K
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