Browsing by Subject "Gaussian Process"
Now showing items 1-8 of 8
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(2022-10-06)This work presents a parametric, non-intrusive, data-driven reduced-order model (ROM) for parametric multigroup radiation transport. Full-order models (FOMs) for radiation transport are often costly in terms of computational ...
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(2022-07-08)The study that is discussed in this thesis involves a unique method of quantifying uncertainty with respect to a classification problem. In essence, the objective involves redefining a materials classification problem ...
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(2022-11-30)Gaussian Process Regression (GPR) is a Bayesian non-parametric method widely used in machine learning for supervised learning. Compared to neural networks and support vector regressions, prediction using GPR provides one ...
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(2018-08-02)In model-based fault detection, processed input and output time-series data are used to generate models and then perform on-line predictions. Many practical considerations in model-based fault detection systems rule out ...
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(2022-07-25)Process-structure-property (PSP) relational linkages are necessary for designing, developing, and tailoring a material to exhibit desired properties, and ultimately, performance for a targeted application. Establishing PSP ...
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(2022-07-20)Wind energy is the forerunner among the renewable energy sources, and by the end of 2020, wind energy accounted for roughly 8.4% of the total electricity used in the United States. In various decision making tasks related ...
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(Energy Systems Laboratory (http://esl.tamu.edu); Texas A&M University (http://www.tamu.edu), 2012)The main purpose of this research is to include uncertainty that lies in modeling process and that arises from input values when predicting system performance, and to incorporate uncertainty related to system controls in ...
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(2019-03-06)This dissertation includes three essays. In the first essay I study the problem of density estimation using normal mixture models. Instead of selecting the ‘right’ number of components in a normal mixture model, I propose ...