Browsing by Subject "Bayesian statistics"
Now showing items 1-6 of 6
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(2021-11-29)This dissertation concerns the relation between the response of materials in an indentation test and their inelastic mechanical properties. The connection between indentation responses and inelastic properties is not ...
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(2021-12-03)In this dissertation, we propose novel Bayesian machine learning models to solve various graph analytics problems, including graph representation learning, graph generative modeling, structured semi-supervised learning, ...
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(2011-10-21)The protein structure prediction problem consists of determining a protein’s three-dimensional structure from the underlying sequence of amino acids. A standard approach for predicting such structures is to conduct a ...
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(2023-03-03)Clustering of tensors with limited sample size has become prevalent in a variety of application areas. Existing Bayesian model based clustering of tensors yields less accurate clusters when the tensor dimensions are ...
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(2018-05-04)Laser Powder-Bed Fusion processes capable of processing metallic materials are a set of relatively new and emerging Additive Manufacturing technologies that offer attractive potential and capabilities (e.g., design freedom, ...
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(2018-03-09)Bayesian statistical methods are known for their flexibility in modeling. This flexibility is possible because parameters can often be estimated via Markov chain Monte Carlo methods. In large datasets or models with many ...